Collection of Courses Number 17
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Description
Welcome to course Professional Certificate in Marketing & Marketing Management by MTF Institute
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.
MTF is present in 208 countries and has been chosen by more than 440 000 students.
Course Author:
Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.
In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.
In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.
Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.
With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.
What is Marketing?
Definition: Marketing is the process of identifying customer needs, creating products or services that fulfill those needs, and communicating the value of those offerings to potential customers.
Focus: Marketing focuses on getting the right message to the right audience, ultimately driving interest and sales.
Key Activities:
Market research
Product development
Brand building
Advertising and promotions
Content creation
Customer relationship management
What is Marketing Management?
Definition: Marketing management is the strategic and operational process of planning, organizing, implementing, and controlling an organization's marketing resources and activities.
Focus: Marketing management aims to create a cohesive marketing plan, optimize resource allocation, and measure the effectiveness of marketing initiatives.
Key Activities:
Developing marketing strategies and plans
Setting marketing budgets
Managing marketing teams
Overseeing marketing campaigns
Analyzing marketing performance (tracking metrics and ROI)
Making adjustments to strategies as needed
The Relationship Between Marketing and Marketing Management
Think of marketing as the actions you take to promote your business, and marketing management as the overarching system to plan, execute, and refine those actions strategically.
Here's a simple analogy:
Marketing is like cooking a delicious meal. It involves finding the right recipe (products/services), sourcing the best ingredients (market research), and carefully preparing the dish (advertising, promotions).
Marketing Management is like being the head chef. They devise the overall menu (marketing strategy), manage the kitchen staff (marketing teams), ensure the budget is efficient, and keep track of customer feedback (measuring results) to perfect future meals.
Description
Automating business processes using techniques such as RPA (Robotic Process Automation) is a skill highly in demand in today's workforce. Businesses are seeking new and innovative ways to improve their operational performance, save money, reduce time wasted and produce better quality products and services, all quicker and more efficiently. They want to reduce the occurrence of errors and issues, defects and problems. Automating their processes can help with all of that.
In this course, we are going to explore the following:
- How to identify and define a process as "ripe" and ready for automation, looking through the techniques to determine this.
- How to plan for an automation project of this kind (process automation).
- How to build out the most important document in process automation, the PDD (Process Definition Document).
- What automation is, the different types you may see and how process automation fits in here.
- A practical example of a real life automation, defined, explored and deployed within an organization.
The course focuses on a good mix of the practical and the theoretical. The aim is for you to leave the course confident to be able to identify a process in need of automation, and the steps you need to take post this to deploy the change. We will cover off what work you need to do internally (process mapping, project management activities) and the work the developers will be taking on (production, test scenarios etc.)
It is worth noting this course is NOT about giving you technical skills to actually build the automation itself. This course is going to upskill you in how to run a process automation project, how to identify and prioritize those processes ripe for automation and how to conduct the many activities internally (such as planning, mapping, workshops etc.) to get the automation over the line. These skills (outside of the technical) are really important - having someone coordinate, plan and delivering all of the work required.
Description
Do you want to build a solid foundation in the consumer products, retail, and quick service restaurant (QSR) industries? Whether you are an aspiring entrepreneur, retail professional, or business strategist, this course provides a step-by-step guide to understanding industry fundamentals, key business processes, and market best practices.
Through this course, you will gain a deep understanding of consumer products as a business, industry-specific terminology, retail processes, and the essentials of QSR operations. You will learn how major brands structure their business models, how retail merchandising works, and what makes QSRs function efficiently.
By the end of this course, you will be able to confidently navigate the consumer products industry, understand key industry terminologies, and apply real-world strategies in retail or QSR settings.
This Course Covers:
Consumer Products Industry Basics – Product types, business models, and market positioning
Understanding Retail & Merchandising – Store layouts, inventory management, and sales processes
Quick Service Restaurant (QSR) Fundamentals – Operations, customer service, and menu structuring
Industry Terminologies & Key Processes – Common terms, workflows, and real-world applications
Business Strategy & Market Insights – Understanding pricing, distribution, and industry trends
Who Should Take This Course?
Business professionals looking to expand their knowledge of consumer products and retail
Entrepreneurs launching a consumer brand, retail store, or QSR business
Retail employees, managers, or franchise owners seeking structured industry insights
Anyone interested in understanding how the consumer products and retail industries function
Join now and gain a practical, industry-focused understanding of consumer products, retail, and QSR businesses!
Description
Effective processes are crucial to the success of any organization. They are vehicles that enable our colleagues to produce our products, services and outputs. They are the lifeblood of any business. However, if those processes are not performing as effectively as they could be, they can be a real hinderance on the successful performance or individuals and the quality of their outputs.
This is where business simplification comes in. Being able to simplify your business processes is a skill highly in demand today. This skill enables you to identify opportunities within a process to reduce waste, time and effort. It is an approach which educates you on the best tools and techniques available to help you solution for problems, issues and defects holding back your processes. Business process simplification is a continual effort, and this never ending approach means it is a highly desirable skill as it will always be required by businesses large and small, in all industries.
In this course we are going to cover off the following:
- What business process simplification is (with examples, the what, why and when etc.)
- How business process simplification can be pursued (the approaches and techniques)
- The various methodologies that can support this approach (Lean, PDCA etc.)
- The 8 stage process to follow when delivering a simplification project (define, map, analyze etc.)
- The key considerations you must think through each time (automation, standardization, the role of teams and data etc.)
This course has been built to finely balance theory and practical - for each relevant section we will explore what it is, detail how to pursue it and give a practical demonstration of how the how can be achieved. The course also has a series of practical exercises and interactive templates included, so you can be as involved or not in this learning experience as you would like - you can tailor the experience to your own learning approach.
Description
What separates a busy CEO from a truly effective one?
It’s not longer hours or endless meetings—it’s strategic clarity, confident leadership, and focused execution.
The Modern CEO is not just a title. It’s a mindset. This course gives you the full executive playbook to lead with vision, drive innovation, grow your business, and make bold decisions—no fluff, just proven systems that work.
You’ll master the 10 core areas every top-performing CEO must focus on: from setting strategy and building culture to managing crises, leading digital transformation, and driving results through people.
This is not your average “CEO 101” or outdated MBA. This is the real-world CEO operating system—taught by Mike Pritula, one of the top HR and leadership experts in the CIS region, with 17+ years of experience advising high-growth companies.
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What You’ll Learn
• How to define a powerful company vision and strategic roadmap
• How to structure and lead high-performing executive teams
• How to drive innovation and bring products to market faster
• How to build a growth-focused sales and marketing engine
• How to master financial planning, risk mitigation, and capital strategy
• How to lead through crisis and make confident, high-stakes decisions
• How to implement organizational change and scale transformation
• How to harness AI and digital tools to future-proof your business
• How to collaborate effectively with your COO and C-suite
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Why This Course Works
• Real tools, not theory – Checklists, frameworks, and decision-making systems you can apply today
• CEO-tested models – Learn what actually works inside successful companies
• Modern focus – Covers AI, digital strategy, innovation, and rapid change
• Expert-led – Taught by Mike Pritula, with 100+ HR and executive courses delivered globally
• Lifetime access – Watch and revisit lessons at your own pace
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If you’re ready to stop reacting and start leading like a modern CEO—this course is your blueprint.
Enroll now and build the strategic, confident, and future-ready CEO within.
Description
GameDev Recruiter: Mastering Talent Acquisition in the Video Game Industry
Course Description:
The video game industry is a dynamic and rapidly evolving sector, demanding specialized recruitment strategies to attract top-tier talent. The GameDev Recruiter course is meticulously designed to equip recruitment professionals with the knowledge and skills necessary to excel in sourcing and hiring for game development roles. Through this program, participants will gain a deep understanding of the game development process, industry-specific roles, and effective strategies to identify and engage the best candidates in the field.
What You’ll Learn:
• Introduction to Game Development Recruitment: Understand the unique aspects of recruiting within the video game industry, including company cultures and the distinct differences from traditional IT recruitment.
• Game Development Process and Design: Gain insights into various game genres, the end-to-end development lifecycle from concept to release, and the pivotal role of game designers.
• Technical Roles in Game Development: Explore the diverse range of developer positions, familiarize yourself with essential game development technologies, engines, and platforms, and understand the typical career progression and compensation structures.
• Art and Creative Positions: Delve into the various artistic roles such as illustrators, 2D/3D artists, and animators, and learn about the tools they use and where to source these creative professionals.
• Additional Game Development Roles: Identify and comprehend the functions of marketers, producers, community managers, business developers, and testers within a game development context.
• Sourcing Game Development Talent: Discover effective strategies and resources for finding qualified game development professionals, including specialized job boards, industry events, and online communities.
• Assessing Candidates: Learn how to evaluate potential hires through competency-based interviews, practical test cases, and cultural fit assessments to ensure alignment with company values and project needs.
• Effective Communication with Candidates: Develop compelling communication techniques to attract and engage candidates, utilizing tailored email templates and creative outreach methods.
Who Should Enroll:
• Recruiters and Talent Acquisition Specialists aiming to specialize in the video game industry.
• HR Professionals seeking to understand the nuances of game development recruitment.
• Individuals Aspiring to Enter Game Development Recruitment and looking to acquire industry-specific knowledge and skills.
Course Structure:
The program comprises 8 comprehensive lessons, each focusing on critical components of game development recruitment. Lessons are released weekly, allowing participants to progressively build their expertise. Each session includes recorded classes, practical assignments, and personalized feedback to ensure the application of learned concepts.
Key Modules:
1. Introduction to GameDev Recruitment
• Roles and responsibilities of a GameDev recruiter.
• Distinctive features of the game development industry.
• Understanding gamer culture and its impact on recruitment.
2. The Game Development Process and Game Design
• Overview of game types and development stages.
• The significance of game designers and their training pathways.
3. Technical Roles in Game Development
• Classification of developer roles and required skill sets.
• Introduction to game development technologies and platforms.
• Insights into developer career trajectories and remuneration.
4. Art and Creative Positions in GameDev
• Exploration of various art roles and their distinctions.
• Familiarization with industry-standard tools and software.
• Strategies for sourcing artistic talent.
5. Other Essential GameDev Roles
• Understanding the roles of marketing, production, community management, business development, and quality assurance.
• Effective methods for identifying and recruiting for these positions.
6. Strategies for Sourcing GameDev Talent
• Utilizing specialized platforms and communities for talent acquisition.
• Leveraging tools and plugins to enhance sourcing efficiency.
• Maximizing reach through targeted job postings and event participation.
7. Candidate Assessment Techniques
• Implementing structured interviews and practical evaluations.
• Developing assessment scorecards to standardize evaluations.
• Evaluating cultural fit and candidate motivation.
8. Effective Communication with GameDev Candidates
• Crafting engaging outreach messages and communication strategies.
• Understanding candidate profiles to tailor communication.
• Applying creative approaches to candidate engagement and recruitment marketing.
Why Choose This Course:
• Expert Instruction: Learn from industry veteran Mike Pritula, who brings extensive experience in game development recruitment.
• Practical Application: Engage in real-world exercises and assignments designed to apply recruitment strategies effectively.
• Flexible Learning: Benefit from an online format that allows you to learn at your own pace, with weekly lesson releases to maintain consistent progress.
• Certification: Upon successful completion, receive a diploma that validates your expertise in game development recruitment.
Enroll Today:
Elevate your recruitment career by mastering the intricacies of talent acquisition in the video game industry. Join this course to gain the skills and knowledge necessary to connect top talent with leading game development studios.
Description
Corporate Culture: Building a Foundation for Business Success
Course Description:
In today’s competitive business landscape, a strong corporate culture is essential for driving organizational success and employee engagement. The Corporate Culture course is meticulously designed to equip HR professionals, managers, and business leaders with the knowledge and tools to shape and manage an effective corporate culture. Led by industry expert Mike Pritula, this comprehensive program delves into the eight-step model for building corporate culture, strategies for implementation, and best practices from leading companies such as Netflix, Google, Buffer, Basecamp, Starbucks, and Miro.
What You’ll Learn:
• Understanding Company Culture: Gain insights into the importance of corporate culture in business and how it originates and evolves within organizations.
• The Eight-Step Model: Learn a structured approach to building corporate culture, including describing desired employee behaviors, creating rituals, selecting culturally aligned talent, integrating newcomers, and continuous communication.
• Implementing Culture in Daily Operations: Discover practical methods to embed culture into everyday business practices, from recruitment to performance management.
• Communicating and Training: Develop strategies for effectively communicating cultural values and training employees to embody them.
• Measuring and Sustaining Culture: Explore tools and techniques to assess cultural alignment and sustain a positive corporate environment over time.
Who Should Enroll:
• HR Professionals seeking to develop and manage corporate culture within their organizations.
• Managers and Team Leaders aiming to foster a cohesive and motivated team environment.
• Business Leaders and Entrepreneurs interested in establishing a strong cultural foundation to drive business success.
• Organizational Development Specialists looking to enhance their expertise in cultural transformation initiatives.
Course Structure:
The program comprises 6 comprehensive lessons, each focusing on critical aspects of corporate culture development and management. Lessons are released weekly, allowing participants to progressively build their expertise. Each session includes recorded classes, practical assignments, and personalized feedback to ensure the application of learned concepts.
Key Modules:
1. What is Company Culture
• The significance of culture in business.
• Origins and development of corporate culture.
• Case Study: Netflix’s corporate culture.
2. The Eight-Step Model
• Describing desired employee behaviors.
• Creating and embedding cultural rituals.
• Selecting and integrating culturally aligned talent.
• Case Study: Miro’s corporate culture.
3. Describing Company Culture Through Desired Behaviors
• Identifying and articulating expected behaviors.
• Avoiding common pitfalls in culture description.
• Aligning vision, mission, and values.
• Case Study: Tesla’s corporate culture.
4. Implementing Culture into Everyday Life
• Designing impactful cultural rituals.
• Developing culturally aligned interview processes.
• Integrating new hires into the existing culture.
• Case Study: Starbucks’ corporate culture.
5. Launching and Communicating Culture
• Utilizing internal communication channels effectively.
• Training programs to reinforce cultural values.
• Leading by example to embody the culture.
• Case Study: Buffer’s corporate culture.
6. Building a Culture of Success
• Elements of a successful corporate culture: transparency, positivity, recognition, and more.
• Continuous assessment and improvement strategies.
• Case Study: Basecamp’s corporate culture.
Why Choose This Course:
• Expert Instruction: Learn from seasoned professional Mike Pritula, who brings extensive experience in corporate culture development and management.
• Practical Application: Engage in real-world exercises and assignments designed to apply cultural strategies effectively.
• Flexible Learning: Benefit from an online format that allows you to learn at your own pace, with weekly lesson releases to maintain consistent progress.
• Certification: Upon successful completion, receive a diploma that validates your expertise in corporate culture management.
Enroll Today:
Transform your organization by mastering the art of building and managing a strong corporate culture. Join this course to gain the skills and knowledge necessary to create an environment where employees thrive, and businesses succeed.
Description
Strategic HR Leadership: Mastering Strategic HR, HR Management, and Organizational Strategy
Course Description:
In today’s rapidly evolving business environment, aligning HR strategy with organizational goals is no longer optional—it’s essential. This comprehensive Strategic HR Leadership course is designed to help HR professionals, managers, and executives become strategic partners who drive business success. By integrating cutting-edge strategic HR management practices with project management and leadership development, this course positions HR as a key player in achieving organizational excellence.
Led by industry expert Mike Pritula, this program covers every aspect of strategic HR—from designing and implementing effective HR strategies to managing organizational change and fostering a high-performance culture. It goes beyond theory, offering practical tools to implement innovative HR strategy frameworks that directly contribute to business growth.
What You’ll Learn:
• Master the Fundamentals of HR Strategy:
Understand the core concepts of strategic HR management, including its integration with organizational goals, mission, and long-term business strategy.
• Align HR Strategy with Business Objectives:
Develop skills to align HR practices with organizational strategy to enhance workforce productivity and achieve competitive advantage.
• Implement Strategic HR Frameworks:
Learn how to apply strategic models like the Balanced Scorecard, McKinsey 7-S Framework, and the Harvard Model for HR strategy.
• Strategic Workforce Planning:
Master techniques for forecasting talent needs, optimizing workforce planning, and aligning employee development with long-term business strategy.
• Leadership in Strategic HR:
Discover how to lead organizational transformation through effective HR strategy execution, leadership development, and strategic decision-making.
• Data-Driven HR Strategy:
Utilize analytics and HR metrics to create evidence-based strategies that improve talent acquisition, retention, and employee engagement.
• Global Strategic HR Management:
Address international HR strategy challenges, including cross-cultural leadership, global talent management, and international HR compliance.
• Change Management and Organizational Strategy:
Build resilience within the organization by implementing change management strategies that align with HR goals and broader organizational strategy.
• Project Management in HR Strategy:
Incorporate project management techniques into strategic HR initiatives to ensure seamless execution and measurable outcomes.
Who Should Enroll:
• HR Directors and Managers: Enhance leadership skills and implement HR strategies that align with business priorities.
• Business Leaders and Executives: Learn how HR strategy contributes to achieving long-term organizational success.
• Project Managers: Integrate strategic HR practices into project management frameworks for more effective execution.
• Organizational Development Specialists: Apply strategic HR planning to foster continuous improvement and drive innovation.
• Mid-Level HR Professionals: Develop the skills needed for career advancement through advanced HR strategy techniques.
Course Structure:
This course consists of 8 intensive modules that cover every aspect of HR strategy:
1. Strategic HR Model
• Understanding HR concepts and architectures
• Aligning HR functions with business strategies
• Ethical frameworks in HR
• Role of HR in small and large enterprises
2. Strategic HR Management and Business Partnership
• Defining and developing business strategies
• The strategic role of HR in business planning
• Building effective HR business partnerships
• Responsibilities of HR directors and HRBPs
3. Crafting HR Strategies
• Characteristics and evaluation of effective HR strategies
• Approaches to HR strategy development
• Formulation and implementation techniques
4. Organizational Development Strategies
• Implementing organizational development activities
• Human capital and knowledge management
• Corporate social responsibility initiatives
5. Enhancing Company Performance
• Strategic performance management processes
• Developing high-performance cultures
• Designing effective performance management systems
6. Engagement and Talent Management
• Strategies to boost employee engagement
• Workforce planning and resource optimization
• Employer value propositions
• Talent retention and development plans
7. Learning and Reward Systems
• Cultivating a learning-oriented culture
• Organizational and individual learning strategies
• Designing reward systems aligned with performance
• Employee relations and communication
8. International HR Management
• Managing cultural differences in global contexts
• International talent acquisition and management
• Global performance management practices
• Expatriate management and support
Why Choose This Course?
• Expert Instruction: Learn from Mike Pritula, an internationally recognized expert in HR strategy, leadership, and organizational development.
• Real-World Case Studies: Apply your skills using real-life examples from top-performing organizations like Google, Amazon, and Tesla.
• Practical Tools: Downloadable resources, checklists, and templates designed to streamline HR strategy implementation.
• Data-Driven Frameworks: Learn how to integrate HR analytics into strategic decision-making processes.
• Certification: Earn a certificate of completion to showcase your expertise in strategic HR leadership.
Enroll Today:
Take your HR career to the next level and become a true strategic partner within your organization. Join the Strategic HR Leadership course and gain the tools, knowledge, and confidence to develop and implement impactful HR strategies that drive long-term business success.
Ready to lead your organization’s HR strategy transformation? Enroll now and become the HR strategist your organization needs!
Description
Managing Stress and Burnout in the Company: Enhancing Employee Well-being and Retention
Course Description:
In today’s fast-paced work environment, workplace stress and employee burnout have become significant challenges, leading to decreased productivity and increased attrition rates. The Managing Stress and Burnout in the Company course is meticulously designed to equip HR professionals, managers, and organizational leaders with the knowledge and tools to identify, manage, and mitigate stress and burnout within their teams. Led by industry expert Mike Pritula, this comprehensive program delves into the causes of workplace stress, effective intervention strategies, and the development of a supportive company culture that prioritizes employee well-being.
What You’ll Learn:
• Impact of Stress and Burnout on Business: Explore global research on how stress and burnout affect organizational performance, employee engagement, and turnover rates.
• Identifying Causes of Workplace Stress: Understand the primary factors contributing to stress and burnout, including workload, role ambiguity, and organizational culture.
• Building an Anti-Stress Culture: Learn strategies to foster a supportive work environment that proactively addresses stressors and promotes mental health.
• HR’s Role in Stress Management: Discover how HR can lead initiatives to assess stress levels, implement wellness programs, and support employees effectively.
• Training Managers to Handle Stress: Equip managers with the skills to recognize signs of burnout, conduct meaningful 1:1 meetings, and create action plans to support their teams.
• Establishing Reporting Systems: Develop mechanisms to monitor stress and burnout levels, utilizing tools like pulse surveys and feedback systems to inform continuous improvement.
Who Should Enroll:
• HR Professionals seeking to implement effective stress management and wellness programs.
• Managers and Team Leaders aiming to support their teams in managing stress and preventing burnout.
• Organizational Leaders interested in fostering a culture that prioritizes employee well-being and reduces attrition.
• Business Owners looking to enhance productivity and employee satisfaction through effective stress management strategies.
Course Structure:
The program comprises 6 comprehensive lessons, each focusing on critical aspects of managing workplace stress and burnout. Lessons are released weekly, allowing participants to progressively build their expertise. Each session includes recorded classes, practical assignments, and personalized feedback to ensure the application of learned concepts.
Key Modules:
1. How Stress and Burnout Affect Business
• Review global research on stress and burnout impacts.
• Define stress and burnout within a workplace context.
• Techniques for diagnosing stress and burnout in your organization.
2. Causes of Stress and Burnout
• Identify factors leading to workplace stress.
• Analyze why burnout occurs and its contributing elements.
• Conduct company audits to pinpoint stress and burnout sources.
3. Building an Anti-Stress Culture
• Develop a culture that mitigates stress and prevents burnout.
• Understand the roles of top management, line managers, and HR in fostering this culture.
4. HR’s Work on Stress and Burnout
• Implement research methodologies to assess stress levels.
• Conduct effective 1:1 meetings to address employee concerns.
• Analyze the relationship between stress, burnout, turnover, and engagement.
• Enhance employee experience by identifying and addressing demotivation factors.
5. Training for Managers
• Provide managers with tools to recognize and manage stress and burnout.
• Facilitate knowledge transfer and practical application of stress management techniques.
• Monitor and support managers’ performance in handling team stress.
6. Building a Reporting System
• Create comprehensive reports on stress and burnout metrics.
• Utilize pulse questionnaires to gather real-time data.
• Explore automation tools to streamline monitoring and reporting processes.
Why Choose This Course:
• Expert Instruction: Learn from seasoned professional Mike Pritula, who brings extensive experience in managing workplace stress and enhancing employee well-being.
• Practical Application: Engage in real-world exercises and assignments designed to implement stress management strategies effectively.
• Flexible Learning: Benefit from an online format that allows you to learn at your own pace, with weekly lesson releases to maintain consistent progress.
• Certification: Upon successful completion, receive a diploma that validates your expertise in managing workplace stress and burnout.
Enroll Today:
Take proactive steps to enhance your organization’s well-being and reduce employee attrition. Join this course to gain the skills and knowledge necessary to create a supportive work environment that prioritizes mental health and fosters employee satisfaction.
Description
You're looking for a complete Decision tree course that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in Python, right?
You've found the right Decision Trees and tree based advanced techniques course!
After completing this course you will be able to:
Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost of Machine Learning.
Have a clear understanding of Advanced Decision tree based algorithms such as Random Forest, Bagging, AdaBoost and XGBoost
Create a tree based (Decision tree, Random Forest, Bagging, AdaBoost and XGBoost) model in Python and analyze its result.
Confidently practice, discuss and understand Machine Learning concepts
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Decision tree, Random Forest, Bagging, AdaBoost and XGBoost.
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through Decision tree.
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a decision tree based model, which are some of the most popular Machine Learning model, to solve business problems.
Below are the course contents of this course on Linear Regression:
Section 1 - Introduction to Machine Learning
In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.
Section 2 - Python basic
This section gets you started with Python.
This section will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.
Section 3 - Pre-processing and Simple Decision trees
In this section you will learn what actions you need to take to prepare it for the analysis, these steps are very important for creating a meaningful.
In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the end we will create and plot a simple Regression decision tree.
Section 4 - Simple Classification Tree
This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python
Section 5, 6 and 7 - Ensemble technique
In this section we will start our discussion about advanced ensemble techniques for Decision trees. Ensembles techniques are used to improve the stability and accuracy of machine learning algorithms. In this course we will discuss Random Forest, Baggind, Gradient Boosting, AdaBoost and XGBoost.
By the end of this course, your confidence in creating a Decision tree model in Python will soar. You'll have a thorough understanding of how to use Decision tree modelling to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
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Below is a list of popular FAQs of students who want to start their Machine learning journey-
What is Machine Learning?
Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
What are the steps I should follow to be able to build a Machine Learning model?
You can divide your learning process into 4 parts:
Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.
Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model
Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python
Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.
Why use Python for data Machine Learning?
Understanding Python is one of the valuable skills needed for a career in Machine Learning.
Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:
In 2016, it overtook R on Kaggle, the premier platform for data science competitions.
In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.
In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.
Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.
What is the difference between Data Mining, Machine Learning, and Deep Learning?
Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.
Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.
Description
Recruiter Mastery: The Ultimate Guide to Talent Acquisition and Recruitment
Master the Art of Recruiting, Sourcing, and Talent Acquisition
Recruitment is the backbone of every successful organization. A recruiter plays a critical role in finding, attracting, and hiring top talent, ensuring companies build high-performing teams. This comprehensive recruitment course is designed to provide you with the skills, tools, and strategies necessary to excel in modern recruiting and talent acquisition.
Led by HR and recruitment expert Mike Pritula, this course covers the entire recruitment lifecycle—from sourcing and selection to employer branding and recruitment automation. Whether you are an aspiring recruiter, an HR professional looking to enhance your recruitment skills, or a hiring manager, this course will equip you with the best industry practices and modern hiring techniques.
What You’ll Learn in This Recruitment Course
Fundamentals of Recruiting and Talent Acquisition
1. Introduction to Recruitment and the Role of a Recruiter
• Understanding the importance of recruitment in HR and business
• Key responsibilities and competencies of a recruiter
• The difference between recruitment, talent acquisition, and headhunting
• Planning a career as a recruiter
2. Recruitment Planning and Hiring Strategies
• Workforce planning and headcount forecasting
• Developing a recruitment strategy aligned with business goals
• Understanding the recruitment funnel and optimizing conversion rates
3. Sourcing and Candidate Search Techniques
• Boolean search, X-ray search, and advanced sourcing strategies
• Using LinkedIn, GitHub, Stack Overflow, and other talent platforms
• Creating candidate personas and target talent mapping
• Building talent pools and pipelines for future hiring needs
4. Recruitment Marketing and Employer Branding
• How to position your company as an employer of choice
• Crafting engaging job descriptions and job postings
• Using ChatGPT and AI for content automation in recruitment
• Leveraging social media for recruitment and talent attraction
Candidate Assessment and Selection Process
5. Interviewing and Candidate Evaluation
• Structuring and conducting competency-based interviews
• Behavioral interview techniques and STAR method
• Candidate screening, shortlisting, and evaluating soft/hard skills
• How to reduce hiring bias and ensure fair selection
6. Psychometric and Skills Testing in Recruitment
• Using online assessments and pre-employment testing tools
• Designing technical and role-specific tests
• Developing case studies, role-plays, and assessment centers
7. Recruitment Process Optimization and Metrics
• Understanding key recruitment metrics (time to hire, cost per hire, quality of hire)
• Using data and analytics to improve hiring efficiency
• Identifying and solving bottlenecks in the recruitment process
Advanced Recruitment Strategies and Hiring Techniques
8. Negotiation and Job Offer Management
• How to structure a compelling job offer package
• Counter-offers and negotiation strategies
• Best practices for closing candidates successfully
9. Onboarding and New Hire Integration
• Designing a structured onboarding program for new hires
• Preboarding, induction, and orientation best practices
• Ensuring a smooth transition from recruitment to retention
10. Executive Search and Headhunting Techniques
• Finding and attracting C-level executives and senior professionals
• How to engage passive candidates and hidden talent
• Building relationships with top-tier professionals
Technology, AI, and Automation in Recruitment
11. Recruitment Automation and ATS Systems
• Overview of Applicant Tracking Systems (ATS) and CRM tools
• Automating recruitment workflows for efficiency
• How AI and ChatGPT are transforming recruitment
12. Legal Compliance and Ethical Recruiting
• Understanding GDPR and EEOC guidelines in hiring
• Avoiding discrimination and ensuring ethical hiring practices
• Confidentiality and data security in recruitment
Who Should Take This Recruitment Course?
• Aspiring recruiters looking to start a career in talent acquisition
• HR professionals aiming to improve their recruitment and hiring skills
• Hiring managers who want to make better hiring decisions
• Experienced recruiters looking to upgrade their sourcing and selection techniques
Why Take This Recruiting Course?
Comprehensive Training – Covers all aspects of recruiting, talent acquisition, sourcing, and hiring
Hands-On Learning – Practical exercises, case studies, and real-world hiring scenarios
Led by Industry Expert – Learn from Mike Pritula, a top HR and recruitment professional
Latest Tools & AI Techniques – Master Boolean search, ATS systems, and recruitment automation
Recruitment Certification – Earn a certificate upon completion to boost your career
By the end of this recruitment course, you will have mastered the recruitment process, learned how to source and assess top talent, and gained cutting-edge hiring techniques to become a highly skilled recruiter.
Enroll now and start mastering the art of recruiting and talent acquisition!
Description
Full-Stack Talent Acquisition: Mastering Senior Recruiting & Sourcing
Become a High-Level Senior Recruiter and Master the Full Recruitment Cycle
The Full-Stack Talent Acquisition course is designed for Senior Recruiters and Talent Acquisition Specialists looking to deepen their expertise in recruitment, sourcing, and candidate assessment. This program provides advanced methodologies, data-driven strategies, and hands-on techniques used by top recruiters worldwide.
This course covers everything from job requisition analysis to Boolean search, social media sourcing, competency-based interviewing, and closing candidates with compelling offers. Whether you’re a recruitment agency professional, corporate recruiter, or Talent Acquisition Partner, this course will elevate your skills and career in recruiting.
Course Program
1. The Role of a Senior Recruiter in Talent Acquisition
• Senior Recruiter competency model and key responsibilities
• Differences between a Senior Recruiter and a traditional recruiter in Talent Acquisition
• Talent Acquisition Partner knowledge checklist for recruitment success
• Strategic workforce planning for Senior Recruiters in fast-paced hiring environments
2. Job Requisition and Market Research for Talent Acquisition
• Analyzing job requirements and key selection criteria for strategic hiring
• Conducting salary benchmarking and market research on talent availability
• Identifying competitor talent pools for proactive recruitment strategies
• Profiling ideal candidates and ranking pre-selected profiles for hiring efficiency
• Assessing the attractiveness of job offers in a competitive talent market
3. Senior Recruiter’s First Meeting with Hiring Managers
• How Senior Recruiters structure a perfect Job Order for Talent Acquisition success
• Aligning hiring expectations with hiring managers and leadership teams
• Developing a strategic recruitment plan to streamline the hiring process
• Discussing candidate personas and hiring needs to refine the search strategy
4. Preparation for Advanced Candidate Search
• Planning an effective hiring funnel with a focus on passive candidate sourcing
• Building competency-based interview frameworks for structured assessments
• Leveraging behavioral indicators to assess candidate performance potential
• Designing technical assessments, role-based tasks, and hiring simulations
• Using advanced Boolean search queries for Talent Acquisition efficiency
5. Advanced Talent Sourcing Strategies for Senior Recruiters
• LinkedIn sourcing techniques for high-quality candidate engagement
• Pirate sourcing: unconventional methods to find top talent in niche industries
• Internal referrals and incentive programs for talent pipeline growth
• Boomerang employees: strategies for rehiring former high-performers
• Discovering top-tier candidates in Telegram and Facebook recruitment groups
• Leveraging AI and ChatGPT to uncover new sourcing channels in Talent Acquisition
6. Boolean Search Techniques for Senior Recruiters
• Mastering Boolean operators: AND, OR, NOT, and advanced modifiers for precise search results
• Enhancing Boolean queries with intitle, inurl, and around operators for better talent discovery
• Constructing complex Boolean search strings to optimize recruitment pipelines
• Using AI-powered automation tools to streamline Boolean search techniques
7. Social Media Recruiting for Talent Acquisition
• Boolean search techniques for LinkedIn talent discovery and direct engagement
• Finding and engaging passive candidates through LinkedIn groups, events, and posts
• Utilizing Facebook X-ray search to identify hidden talent pools
• Recruiting senior-level professionals on Twitter, Instagram, and YouTube
8. Advanced Sourcing & X-Ray Search Techniques
• Mastering X-ray search techniques for deep talent mining across various platforms
• Utilizing Google CSE (Custom Search Engine) for optimized sourcing efficiency
• Refining iterative search methods for uncovering highly specialized candidates
• Using AI-based query generators to enhance X-ray search capabilities
9. Sourcing from Specialized Platforms for Talent Acquisition
• Identifying top designers and developers on niche hiring platforms
• Exploring 50+ best recruitment sites for sourcing industry-specific talent
• Modifying X-ray search techniques for targeted searches across specialized job boards
10. Sourcing Automation Tools for Senior Recruiters
• Leveraging AI-powered sourcing plugins to streamline recruitment workflows
• Enhancing recruiter productivity with automated sourcing tools
• Optimizing recruitment text with AI-enhanced outreach and communication tools
11. Finding Candidate Contact Information for Outreach
• Discovering corporate emails and verifying candidate contact details
• Uncovering hidden LinkedIn contacts without direct connections
• Using Telegram bots for fast and efficient contact discovery
• Implementing email validation techniques to improve response rates
12. Candidate Outreach & Messaging Strategies
• Crafting highly effective outreach messages for passive talent acquisition
• Using FOMO (Fear of Missing Out) techniques to engage senior candidates
• Personalization strategies for outreach based on candidate background and experience
• Optimizing email open rates through A/B testing and data-driven insights
13. Candidate Evaluation & Competency-Based Interviews
• Applying the Scorecard method for structured candidate assessment
• Using the PARLA interview framework to ensure hiring consistency
• Assessing motivation and cultural alignment during the recruitment process
• Salary negotiation tactics and counteroffer risk assessment techniques
14. Conducting Effective Interviews as a Senior Recruiter
• Mastering competency-based interview techniques for precise candidate evaluation
• Active listening strategies for better candidate engagement during interviews
• Using ChatGPT to generate custom interview questions based on job profiles
• Preparing hiring managers for structured and data-driven interviews
15. Sales & Persuasion Strategies in Talent Acquisition
• Understanding the recruitment sales process for successful candidate engagement
• Mapping the Candidate Journey to optimize touchpoints in the hiring funnel
• Applying SPIN and FAB sales techniques for attracting passive candidates
• Overcoming objections and closing high-demand senior-level candidates
16. Job Offers & Counteroffer Management for Senior Recruiters
• Creating compelling and persuasive job offers to secure top talent
• Customizing email templates for seamless offer negotiation strategies
• Preparing candidates to handle counteroffers effectively
• Developing persuasion techniques to retain candidates despite competing offers
Who Should Take This Course?
• Senior Recruiters looking to optimize sourcing and hiring strategies
• Talent Acquisition Specialists seeking advanced tools for data-driven recruitment
• Recruitment Managers who want to implement scalable hiring processes
• Headhunters and Agency Recruiters who need better sourcing and closing techniques
Why Enroll in This Talent Acquisition Course?
Comprehensive coverage of full-cycle recruiting
Advanced sourcing, Boolean search, and AI-powered tools
Employer branding, engagement, and closing strategies
Led by industry expert Mike Pritula
This course is your ultimate guide to mastering Senior Recruiting and Full-Stack Talent Acquisition. Take your recruiting career to the next level with the latest hiring methodologies and industry best practices.
Enroll now and become a top-performing Senior Recruiter!
Description
The “Developing a Benefits Package” course at Mike Pritula Academy is designed to equip HR professionals and benefits managers with the knowledge and tools to create strategic benefits packages that attract, retain, and motivate employees.
What You’ll Learn:
• Understanding Benefits: Explore the history and role of benefits within the Total Rewards system, including current research on employee preferences.
• Types of Benefits: Gain insights into mandatory benefits, healthcare, paid time off, employee well-being initiatives, work-life balance programs, discount schemes, and other benefit types.
• Building a Business Case and ROI Calculation: Learn to link benefits to the employer brand, justify them through employee research, competitor analysis, and demonstrate their economic value to the company.
• Flexible Benefits Design: Understand what flexible benefits are, how to design them, and review examples of successful implementations.
• Developing and Budgeting a Benefits Strategy: Conduct internal and external research, assess employee opinions, identify benefit needs, analyze the effectiveness of existing benefits, and create a benefits budget.
• Benefits Automation: Explore platforms and tools for automating benefits management, including capabilities within universal HRIS and offerings from providers.
Course Program:
1. What Are Benefits:
• History and development of benefits.
• Role in the Total Rewards system.
• World@Work benefits model.
• Addressing business challenges.
• Current research on employee benefit preferences.
• Real company case studies.
2. Types of Benefits:
• Mandatory benefits.
• Employee healthcare.
• Compensation for non-working hours.
• Employee well-being initiatives.
• Work-life balance programs.
• Discount schemes.
• Other benefit types.
3. Business Case for Benefits and ROI Calculation:
• Linking benefits to the employer brand.
• Justification through employee research and importance.
• Competitor analysis.
• Demonstrating economic benefits to the company.
4. Flexible Benefits:
• Definition and importance of flexible benefits.
• Designing flexible benefits programs.
• Examples of flexible benefits.
5. Developing and Budgeting a Company Benefits Strategy:
• Researching internal and external environments.
• Studying employee opinions.
• Identifying benefit needs.
• Analyzing the effectiveness of existing benefits.
• Benefits budgeting.
6. Benefits Automation:
• Benefits automation platforms.
• Capabilities of universal HRIS.
• Offerings from providers.
Course Features:
• Expert Instruction: Learn from Mike Pritula, a seasoned HR leader with extensive experience in developing effective benefits packages.
• Flexible Learning: Access six recorded lessons at your own pace.
• Practical Application: Complete homework assignments with personalized feedback to reinforce learning.
• Interactive Community: Join a dedicated Q&A chat to discuss topics and share experiences with peers.
• Certification: Receive a diploma upon successful completion of the course, enhancing your professional credentials.
Who Should Enroll:
• HR Professionals and Benefits Managers: Individuals responsible for managing and developing benefits packages within their organizations.
• Compensation and Benefits Specialists: Professionals aiming to enhance their expertise in benefits strategy and implementation.
• Business Owners and Managers: Leaders seeking to attract, retain, and motivate employees through effective benefits offerings.
By mastering the development of a strategic benefits package, you can significantly contribute to your organization’s ability to attract, retain, and motivate top talent. Enroll now to enhance your skills and advance your career in HR!
Description
Tired of outdated training programs that drain your time and budget—but deliver little impact?
Discover how Generative AI is revolutionizing Learning & Development, and learn to build smarter, faster, and more personalized corporate training experiences—without the overwhelm.
In this hands-on course, you’ll explore how to create courses in minutes, personalize learning for every employee, and use AI-driven analytics to measure what truly works. Whether you’re an HR professional, L&D manager, or business leader, this course gives you the exact tools and templates used by top companies to future-proof employee training.
Led by Mike Pritula, HR tech expert with 20+ years of global experience and 150+ online courses, this course isn’t theory—it’s a proven, practical system to transform your L&D strategy with AI.
What You’ll Unlock
• Instantly generate training materials with AI-powered platforms
• Create personalized learning paths using employee data
• Use AI to automate skill gap analysis and development plans
• Track learning outcomes with real-time AI analytics
• Future-proof your L&D strategy with the latest AI tools and trends
Inside the Course
• 6 Power-Packed Modules
• Case studies from companies already using AI
• Telegram community for questions, feedback and growth
• Diploma upon completion
Who This Is For
L&D professionals, HR managers, trainers, talent developers, business leaders
—anyone ready to ditch outdated methods and lead the future of training.
Join today before your competitors do—and become the AI-powered learning expert every company needs.
Enroll now and turn your training programs into scalable, personalized, data-driven success stories.
Description
The “AI in Recruiting and Sourcing” course at Mike Pritula Academy is designed to equip HR professionals, recruiters, and sourcers with the knowledge and skills to effectively integrate artificial intelligence into their recruitment processes. By leveraging AI tools, participants can enhance efficiency, attract high-quality candidates, and maintain a competitive edge in the talent acquisition landscape.
What You’ll Learn:
• AI Opportunities and Trends in Recruiting and Sourcing: Gain an understanding of artificial intelligence and its role in modern recruiting, including the latest trends, innovations, and successful case studies.
• Optimizing Job Texts and Images with AI: Learn how AI assists in creating and refining job descriptions, analyzing and improving job advertisement appeal, and automatically generating optimized images for job postings.
• Automated Candidate Selection: Discover how AI enhances candidate search and selection processes, including tools and algorithms for automatic candidate matching and integration with Applicant Tracking Systems (ATS).
• Sourcing and Candidate Communication Automation: Explore AI tools for automating candidate sourcing, communication, and personalized messaging to improve engagement and response rates.
• Candidate Assessment and Interview Analysis: Understand the application of AI in evaluating candidate competencies, conducting and analyzing interviews, and utilizing tools for transcription and objective assessment.
• Enhancing Employer Branding and Recruitment Marketing: Learn how AI strengthens employer branding, analyzes and improves candidate interactions, and automates recruitment marketing strategies.
Course Program:
1. AI Opportunities and Trends in Recruiting and Sourcing:
• Introduction to AI and its role in modern recruiting.
• Overview of the latest trends and innovations in AI for recruiting.
• Examples of successful AI applications in recruiting.
• Potential risks and challenges when using AI in recruiting.
• Future predictions and expectations in recruiting.
2. Working with Job Texts and Images for Job Postings:
• How AI helps create and optimize job descriptions.
• Using AI to analyze and improve the attractiveness of job advertisements.
• Automatically creating and optimizing images for job postings using AI.
• Practical examples and tools.
• Recommendations for creating effective job advertisements.
3. Automated Candidate Selection for Vacancies:
• How AI improves the process of searching and selecting candidates.
• Tools and algorithms for automatic candidate selection.
• Integration with Applicant Tracking Systems (ATS).
• Practical cases of using AI for selection.
• Effective strategies and best practices.
4. Automation of Sourcing and Candidate Communication:
• AI tools for automating candidate sourcing.
• Plugins and tools to enhance communication with candidates.
• Automation of creating and sending email sequences.
• Examples of effective sourcing and communication techniques.
• Basics of creating personalized messages and emails.
5. Candidate Assessment and Interview Analysis:
• Application of AI for assessing candidates and their competencies.
• AI technologies in conducting and analyzing interviews.
• Tools for automatic transcription and interview analysis.
• Approaches to objective candidate assessment using AI.
• How to avoid bias in candidate assessment.
6. Enhancing Employer Branding and Recruitment Marketing:
• The role of AI in forming and strengthening the employer brand.
• Using AI to analyze and improve candidate interactions.
• Automation and optimization of recruitment marketing.
• Examples of successful recruitment marketing strategies.
• Planning and measuring the effectiveness of candidate attraction campaigns.
Course Features:
• Expert Instruction: Learn from Mike Pritula, a seasoned HR leader with extensive experience in integrating AI into recruitment and sourcing processes.
• Flexible Learning: Access six recorded lessons at your own pace.
• Practical Application: Complete homework assignments with personalized feedback to reinforce learning.
• Interactive Community: Join a dedicated Q&A chat to discuss topics and share experiences with peers.
• Certification: Receive a diploma upon successful completion of the course, enhancing your professional credentials.
Who Should Enroll:
• Recruiters and Sourcers: Professionals aiming to stay current with AI advancements in recruitment and sourcing.
• HR Specialists: Individuals seeking to enhance their efficiency and effectiveness in talent acquisition through AI tools.
• Talent Acquisition Managers: Leaders looking to optimize their recruitment processes and strengthen their employer brand using AI.
By mastering AI applications in recruiting and sourcing, you can accelerate your hiring processes, attract top talent, and maintain a competitive edge in the industry. Enroll now to elevate your recruitment strategies!
Description
Think money is what motivates employees? Think again.
Motivation isn’t about bigger salaries or ping-pong tables—it’s about meaning, purpose, and culture. If you want to build a team that performs without constant pressure, you need to understand what truly drives people.
In this course, you’ll uncover what really motivates employees (and what quietly kills motivation), learn how companies like Google and Netflix build cultures of high performance, and get step-by-step tools to create the same in your organization.
Whether you’re an HR professional, manager, or business leader, this course will show you how to unlock discretionary effort, reduce burnout, and build a workplace people don’t want to leave.
Created and taught by Mike Pritula, one of the CIS region’s top HR experts with over 20 years of experience and 150+ courses, this program gives you ready-to-use tools, checklists, and strategies—with no fluff.
What You’ll Learn
The real drivers of employee motivation (hint: it’s not cash)
How to measure and diagnose motivation levels in your company
The link between motivation, performance, and engagement
How to build a motivating culture that retains top talent
Loyalty-building techniques from turquoise organizations
How to increase engagement using Gallup’s 12 motivational factors
Modern motivation models like Motivation 3.0 (autonomy, mastery, purpose)
How to identify and reverse demotivation in the workplace
Why This Course Is Different
Real-world examples from companies like Google and Netflix
Actionable tools and templates you can use immediately
Q&A community for peer support and case sharing
Homework assignments
Certificate upon completion to showcase your HR development
If you’re tired of short-term incentives and disengaged teams—this course is your blueprint.
Enroll now and start building a company people believe in, stay with, and grow in.
Description
Your business is only as strong as your talent strategy.
Without the right people—and a plan to develop and retain them—growth stalls, teams underperform, and turnover skyrockets.
This course is your complete guide to designing and implementing a talent management strategy that attracts A-players, builds a high-performance culture, and aligns with your business goals. You won’t just learn what talent management is—you’ll build a fully integrated system tailored to your organization.
From talent acquisition and onboarding to development, rewards, engagement, and succession planning—you’ll walk away with a practical, ready-to-use strategy to identify, grow, and retain your company’s most valuable asset: its people.
Taught by Mike Pritula, one of the World's top HR experts, this course combines global best practices with actionable tools you can implement immediately.
What You’ll Learn
What talent management is and how to align it with business strategy
How to build your employer brand and EVP to attract top talent
Proven methods for assessing, selecting, and onboarding A-players
Talent development tools: coaching, mentoring, and leadership growth
How to reward and retain talent through fair pay and recognition
Performance management techniques: OKRs, 1:1s, and feedback loops
Succession planning frameworks to ensure leadership continuity
Engagement strategies including Motivation 3.0 and EX mapping
Creating a talent-first culture with automation and modern HR tech
Why This Course Stands Out
Real company cases and a step-by-step system you’ll build during the course
Tools and templates you can apply immediately to your organization
Homework for your own practice
Q&A community to share experiences and get support
If you’re ready to build a talent-driven organization, this is your blueprint.
Enroll now and start creating the talent strategy your company truly needs.
Description
Mastering Employee Feedback: Build a Culture People Actually Want to Work In
Poor feedback kills performance. Great feedback creates unstoppable teams.
Most leaders struggle to give feedback that inspires action. Most employees crave it—but rarely get it. This course fixes that gap. Fast.
In a world of burnout, quiet quitting, and disengagement, the ability to deliver feedback that fuels growth and performance is your unfair advantage. Whether you’re an HR pro, manager, or executive, you’ll learn how to turn feedback from a dreaded chore into your most powerful leadership tool.
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What You’ll Learn
• Why feedback (done right) is the single most important performance driver
• How to overcome fear, awkwardness, and resistance in feedback conversations
• Simple, proven models for giving feedback that’s actually heard—and acted on
• How to create daily feedback loops that drive real growth (not just annual reviews)
• The secret to separating feedback from evaluation to unlock employee potential
• How to build a feedback culture that scales across teams and leadership
• How to use feedback for coaching, development, and recognition
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Why This Course Stands Out
• Learn from Mike Pritula, one of the CIS region’s top HR thought leaders
• Practical tools and scripts you can use the same day
• Build feedback systems that improve retention, engagement, and performance
• Certificate upon completion to show you’re a modern, people-focused leader
• Join a peer community of change-makers building high-performance cultures
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Who This Course Is For
• HR professionals designing next-gen performance practices
• Managers and team leads tired of vague feedback and low engagement
• Executives and founders building healthy, high-trust cultures
• Anyone ready to stop avoiding tough conversations and start leading with impact
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Don’t Just Give Feedback—Give It So It Works
Most companies get feedback wrong—and pay for it in silence, stress, and turnover. This course gives you the clarity, language, and systems to change that. For good.
Enroll now to become the feedback leader your team deserves.
Learn the strategies top companies use to turn conversations into transformation.
Description
Do you dream of bringing innovative products to life and leading them to success in the market? Are you ready to learn the secrets of successful product management that can set you apart in your career? Our course is designed to transform your ambitions into reality and provides you with all the essential tools to excel in this field.
This course offers a deep dive into product management. It will guide you from the initial concept to the final product launch. With practical insights and real-world examples, you'll gain the knowledge and confidence needed to manage products effectively and drive their success.
What will you learn in this course?
Understand the core principles and skills that drive successful product management
Learn how to navigate the product lifecycle and effectively target different audiences
Identify and understand customer needs and behaviors for better product alignment
Master techniques for conducting insightful customer and market research
Develop strategic pricing models and distribution channels
Analyze market trends and competitor strategies to inform decision-making
Implement key metrics and analytics tools to measure product performance
YOU’LL HAVE THE OPPORTUNITY TO LEARN FROM TOP PROFESSIONALS:
Irina Vasilenko, is a seasoned professional with over 12 years of experience in product management. She worked with a range of companies from agile startups to Fortune 500 enterprises. In the past five years, Irina has specialized in strategic product consulting, helping organizations with product discovery, strategy development, and go-to-market execution.
Our SkillsBooster Academy offers diverse online courses in digital marketing, e-commerce, project and product management, IT, and more to elevate your professional skills.
Overall, our instructors collected a vast amount of qualifications and certifications (Google Analytics Individual Qualification, Google Ads Individual Qualification, Bing Ads Accredited Professional, Search Ads360 Certified, and others)
More than 690,000 specialists worldwide have enrolled in our online courses
Our training includes:
Theory: Over 2 hours of engaging video lectures with real-world examples
Lifetime access to all course content and updates
Personalized support to address your questions and challenges
Udemy certificate of completion to enhance your professional credentials
SHOULD YOU BE WORRIED?
This course comes with a 30-day money-back guarantee.
Enroll today and take the first step toward mastering product management!
Description
You don’t have a time problem—you have a delegation problem.
If you’re buried in tasks, stretched thin, or frustrated that your team isn’t stepping up, this course is for you. Delegation isn’t about dumping work—it’s about multiplying your impact.
In this course, you’ll learn how to delegate with purpose, clarity, and confidence. We’ll show you how to stop micromanaging, build ownership, and finally lead like a pro. You’ll walk away with tools, templates, and tactics you can implement immediately—and start getting better results with less effort.
Whether you’re a manager, team lead, or aspiring leader, this course will show you how to free up your time, empower your team, and scale your leadership.
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What You’ll Learn
• Why delegation is the most underused leadership superpower
• How to overcome trust issues and control tendencies that block delegation
• How to use SMART goals and the Eisenhower Matrix to delegate effectively
• How to implement the RACI model to clarify ownership and avoid confusion
• How to delegate using Trello, Asana, and Jira for modern task tracking
• How to give feedback that fuels growth—not frustration
• How to turn delegation into a development tool with the GROW model
• How to gamify and align tasks with OKRs to drive performance and engagement
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Course Breakdown
Module 1: Delegation Foundations
• Why delegation fails—and how to fix it
• Setting SMART goals and using prioritization frameworks
• Shifting your mindset from doer to leader
Module 2: The Delegation Framework
• Step-by-step delegation system from task selection to follow-up
• RACI explained: who owns what, when, and how
• Top tech tools for hands-off oversight
Module 3: Delegation for Development
• Strategic delegation to grow your team
• The GROW model for coaching through responsibility
• Balancing autonomy with accountability
Module 4: Advanced Delegation
• Gamification and OKRs for motivation
• Delegation automation for efficiency
• How high-performance teams delegate by design
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Why This Course Works
• Created by Mike Pritula, expert in leadership and organizational development
• Practical, proven, and immediately actionable—no fluff
• Lifetime access to 5 recorded lessons you can revisit anytime
• Peer chat for sharing strategies and solving real challenges
• Diploma to showcase your delegation mastery and leadership readiness
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Who This Course Is For
• Managers & Supervisors who want to lead, not chase tasks
• Project Managers tired of last-minute fires and dropped deadlines
• Team Leads & New Leaders ready to build empowered, accountable teams
• Executives who need time to think big—and stop being the bottleneck
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Don’t just work harder—lead smarter.
Enroll now and learn the art of effective delegation. Take back your time, boost your leadership influence, and help your team thrive.
Description
To manage and improve business operations, you first need to describe how work is done—and do it clearly. This course gives you a step-by-step system to design, map, and document business processes using globally recognized tools and techniques.
Whether you’re creating HR process descriptions, onboarding flows, or operational workflows, this course will help you create structured, standardized, and actionable process documentation that drives real improvement.
Led by Mike Pritula, a recognized HR expert and business process consultant, this hands-on course includes practical assignments, reviewed personally, and real-world templates to immediately apply in your organization.
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What makes this course different:
• Homework for your own practice
• Tools and templates for immediate business use
• Real examples of described processes: recruitment, adaptation, training, and more
• Certificate issued upon completion
• Q&A section, and peer support
⸻
By completing this course, you will:
• Understand the value and structure of process documentation
• Identify and prioritize processes for description
• Apply international methods like BPMN and flowcharts
• Use digital tools and templates for efficient process design
• Analyze and improve documented processes for better outcomes
• Implement a process design project from team formation to project closure
• Gain practical experience with examples of HR workflows
• Present and gain approval from management for process design initiatives
• Create scalable, repeatable, and optimized workflows in your organization
⸻
Course Curriculum Overview
Section 1: Foundations of Process Documentation
• Why process design matters and who should lead it
• Key components and prioritization strategies
Section 2: Methodologies and Tools for Mapping
• Global standards in process description (BPMN, flowcharts)
• Process modeling software and real tool demonstrations
Section 3: Implementation and Evaluation
• Turning process descriptions into real business results
• Evaluation and continuous optimization of workflows
Section 4: Real-World Case Studies
• Ready-made descriptions of recruitment, onboarding, performance, and more
Section 5: Running a Process Design Project
• Building a project team, preparing the concept, and managing implementation
⸻
This is a practical, tool-driven course for professionals who want to create clarity, consistency, and efficiency in their business operations through structured process design.
Start today and build the foundation for scalable, efficient workflows.
Description
In this course, you will learn how to deliver the highly effect and in demand methodology that is Theory of Constraints. This is an approach to quality and improvement that is rooted in the idea that if there is something constraining your process, it can be removed by constantly and consistently working on the constraint until it is no more. It is an approach which focuses on improving processes and operational performance for the benefit of the wider organization, your products and services and your customers and clients. To learn how to deliver Theory of Constraints, we will cover off:
- The fundamentals, looking at ToC as an approach, continuous improvement and quality.
- The key steps you need to deliver when running a ToC project, how to deliver them and why (these are known as the 5 focusing steps).
- The key tools available to you to understand your current situation and move it safely to a better future state (these are known as the thinking processes).
- A scenario based on a real life example, running through all of the key activities taught to show you how you can practically deploy this methodology.
By the end of this course, you will have the knowledge and the confidence needed to deliver Theory of Constraints successfully, delivering effective and lasting results that will improve processes, experience and outputs for many years to come.
Description
Course Description:
Scrum Master Certification/ Assessment
Unlock the Full Potential of Agile with the Scrum Master Certification Assessment from Agile Enterprise Coach
Welcome to the Scrum Master Assessment, comprehensive evaluations designed for individuals seeking to confirm their understanding and proficiency in the Scrum framework. This assessment is not a theoretical course but a practical examination that reflects real-world scenarios and applications of Scrum, as outlined in the Official Scrum Guide.
For Employees/ Individuals: Advance Your Agile Career
As an aspiring or current Scrum Master or Product Owner, this assessment will serve as a benchmark for your Scrum and Product Ownership knowledge and skills, allowing you to:
Validate Expertise: Demonstrate your mastery of the Scrum framework and stand out in a competitive job market.
Professional Development: Identify your strengths and areas for growth, guiding your learning journey in Agile practices.
Career Advancement: Enhance your resume and LinkedIn profile with the certification, opening doors to new opportunities and career growth.
Credibility and Recognition: Gain the confidence of peers and employers with a certification that showcases your commitment to the Agile mindset.
For Organisations/Scrum Teams : Elevate Your Team's Agile Capabilities
In the fast-paced world of technology and product management, Agile methodologies have become the cornerstone of successful product delivery. Implementing Scrum within your organization can revolutionize the way you manage projects, enhance team collaboration, and drive better product outcomes. Our Scrum Master Certification Assessment offers numerous advantages for your organisation:
Skill Validation: Ensure that your Scrum team members possess a solid understanding of Scrum practices, principles, and values.
Team Efficiency: Identify Scrum Masters who can lead and facilitate Agile teams to higher levels of productivity and efficiency.
Continuous Improvement: Pinpoint areas where your teams excel and where they need further training, fostering a culture of continuous learning and development.
Competitive Edge: By having certified Scrum Masters, your company can stay ahead of the curve in Agile product management, attracting clients and projects that value certified expertise.
The Role of a Scrum Master: Facilitator of Agile Excellence
The Scrum Master is a pivotal role within Scrum teams, acting as a facilitator, coach, and servant leader. As a Scrum Master, you are responsible for:
Ensuring Scrum Adoption: Guide your team in following Scrum practices, principles, and rules as described in the Official Scrum Guide.
Facilitating Scrum Events: Conduct effective Sprint Planning, Daily Scrums, Sprint Reviews, and Sprint Retrospectives to maximize collaboration and progress.
Impediment Removal: Address and eliminate obstacles that hinder your team's performance, ensuring a smooth path to project completion.
Coaching and Mentoring: Empower your team by promoting self-organization, cross-functionality, and continuous improvement in Agile practices.
Why Choose Our Scrum Master Certification Assessments?
Our assessment is meticulously crafted to reflect the depth and breadth of the Scrum framework as per the Official Scrum Guide. Here’s what sets our Scrum Master Certification Assessment apart:
Real-World Relevance: Questions are designed to challenge and reflect real-life scenarios that Scrum Masters encounter, ensuring practical understanding.
Comprehensive Coverage: The assessment spans all essential Scrum topics, from roles and artifacts to events, providing a thorough evaluation of your Scrum knowledge.
Instant Feedback: Upon completion, receive immediate insights into your performance, helping you to pinpoint questions for further study or confirmation of your expertise.
Scrum Master Certificate: Successful candidates can request a Scrum Master Certificate for this course to be issued by Agile Enterprise coach, adding a tangible credential to their professional portfolio.
Assessment Structure and Content for Scrum Master Certification Assessment
The Scrum Master Certification Assessment consists of a series of multiple-choice questions covering a wide range of topics, including but not limited to:
Scrum Theory and Principles
The Scrum Team: Roles and Responsibilities
Scrum Events: Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective
Scrum Artifacts: Product Backlog, Sprint Backlog, and Increment
Definition of Done
How to Get Certified as Scrum Master from Agile Enterprise Coach, London:
Study the Official Scrum Guide: Familiarize yourself with all the concepts and guidelines.
Take the Assessment: Complete the multiple-choice questions to the best of your ability.
Submit Proof of Completion: Send us screenshots of your completed tests to us to receive your Scrum Master and Product Owner Certificates from Agile Enterprise Coach.
Add to Your Credentials: Include your certification in your CV .
About Me: Vipesh Singla, MBA, Agile Enterprise Coach
Embark on a journey of transformation with Vipesh Singla, a seasoned Agile Enterprise Coach with an impressive track record. Certified and licensed as a SAFe Agile Coach and SAFe Practice Consultant, I bring a wealth of experience to the table.
Throughout my career, I have played pivotal roles in Agile Transformations and Product Management Assignments for a diverse array of Global 2000 companies. Notably, I've collaborated with esteemed clients and employers from prestigious groups such as GAFAM, Big 4, Big Tech, Big Pharma, Fortune 100, and FTSE 100. My versatility shines through various roles, including Product Manager, Product Owner, Scrum Master, and Agile Coach.
Education forms the foundation of my expertise, holding both an MBA and a Bachelor of Engineering degree from one of India's prestigious institutes. As a certified SAFe SPC/Agile Coach, I bring a proven track record of driving successful Agile transformations.
With a track record that speaks volumes, I am proud to be at the forefront of Agile and Scrum coaching. Boasting a remarkable achievement of over 150,000 registrations across all my programs, I have had the privilege of influencing and guiding a diverse community of 70,000 unique students.
My digital presence extends globally, reaching enthusiasts and professionals in 152 countries. This widespread outreach has allowed me to connect with a vast audience, transcending language barriers. Our community is not confined to English alone; we thrive in a multilingual environment, with students conversing in 40 languages.
As an Agile Enterprise Coach, my commitment is to empower individuals worldwide with the knowledge and skills necessary for success in the dynamic field of product management. Join me on this transformative journey, and let's navigate the realm of Agile Product Management together.
Conclusion
Whether you're an individual looking to solidify your Scrum expertise or a company aiming to enhance your team's Agile practices, our Scrum Master Certification Assessment is the stepping stone to achieving professional excellence in Agile project management. Embrace the opportunity to validate your knowledge, improve your skills, and advance your career with our Scrum Master Professional Certification Assessment.
Who this course is for:
For anyone who want to get certified as Scrum Master
For anyone who want to get their Scrum knowledge assessed and validated
Anyone to want to assess their exam readiness for PSM 1 exam by Scrum (unofficial)
Scrum Team members, Developers, Scrum Masters and Product Owners who wants to validate and assess their Scrum Knowledge
Description
Sales: Your Action Plan for Success in the First 90 Days
Embark on your sales journey with confidence! This course is designed to give you the tools and strategies to succeed in your new sales role, focusing on building a strong foundation within those crucial first 90 days.
You'll begin by developing a success-oriented sales mindset, learning how to overcome challenges, embrace a growth mentality, and cultivate the resilience that sales success demands. Gain in-depth mastery of your product or service, understanding its features, unique benefits, and how it addresses common customer pain points.
Discover the power of building strong relationships, both with prospects and internally within your organization. Learn how to actively listen, tailor your presentations, and nurture the trust that leads to sales. This course will equip you to set realistic goals, effectively prioritize your pipeline, prospect for new leads, and navigate the sales conversation with confidence.
You'll learn proven strategies for overcoming objections, negotiating win-win agreements, and employing effective closing techniques. Become a CRM expert, learning to track your deals and stay organized. Finally, we'll discuss the importance of continuous learning. You'll learn how to seek out mentorship, utilize sales training resources, and stay up-to-date on industry trends to build a fulfilling, long-term career in sales.
Design
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Description
Master Canva from scratch in 2025 – in Hindi! Learn Canva’s full toolkit step-by-step: from the basics to powerful AI features like Magic Write, video editing, social media design, and more – in the most beginner-friendly course designed just for you!
Want to turn your ideas into stunning visuals without any design experience?
You’re in the right place – and in the right language!
NEWLY UPDATED FOR 2025 (Now in Hindi):
• Beginner-focused walkthroughs of Canva's latest interface
• Hands-on guide to Magic Studio tools (Magic Write, Erase, Edit & more)
• Video editing made simple – with transitions, templates, & audio sync
• Practical design projects like Instagram posts, YouTube thumbnails, PDFs, business cards, and more
• Real-world Canva use cases – Fiverr gigs, invoices, carousel posts, and more!
Why Learn Canva With This Course?
This isn’t just theory – you’ll see how to use Canva effectively from the ground up:
• Clear explanations in Hindi, perfect for absolute beginners
• Covers every major Canva feature with real examples
• Learn from an expert who simplifies complex tools step-by-step
• Designed with the Indian creator, freelancer, entrepreneur, and student in mind
Course Impact By the Numbers:
• 3+ Hours of Step-by-Step Training in Hindi
• 60+ Real-Time Demonstrations
• Full Coverage of Canva’s 2025 Features
• Lifetime Access with Updates
Who Is This Course For?
Whether you're a complete beginner, student, business owner, freelancer, or content creator – this course will walk you through Canva from A to Z. No design or tech skills required!
What Sets This Course Apart?
Zero to Pro Learning Path
Start with a tour of the Canva interface, then gradually explore editing tools, brand kits, video design, AI tools, and real projects.Massive Real-World Value
Create 25+ different design types including:
Instagram & YouTube graphics
Business cards & logos
Social media carousels
Video templates & transitions
Invoices, banners, PDFs & more
AI Features Made Easy
Learn how to use Magic Write, background removal, beat sync, face retouch, text-to-image, smart mockups, color grading, and more – without getting overwhelmed.Complete Timestamps
Jump to any lesson anytime using the detailed timestamp index – your fast-pass to the exact feature you want to learn.
What You’ll Achieve:
By the end of this course, you’ll be able to:
Confidently navigate the Canva 2025 interface
Design stunning graphics for social media, marketing, and business
Use Canva’s AI tools to speed up your workflow
Create videos, presentations, PDFs, and websites
Build a brand kit and keep designs consistent
Offer professional design services using Canva
Your Learning Journey Includes:
Canva Basics
Homepage, pricing, and interface explained
Understanding Canva’s editor panels
Text, shapes, colors, frames, and layout tools
AI & Smart Features
Magic Write, Edit, Erase, Translate
Background removal (photo + video)
Beat sync, face retouch, color grading
Smart mockups, find & replace, batch posts
Design Mastery
Logo design, business cards, banners
PDF creation and hyperlinks
Instagram carousels & YouTube thumbnails
Color palettes, custom gradients, element filters
Video Editing in Canva
Video panel, templates, transitions
Customization & 4K downloads
Timing, layers, beat sync, and more
Branding & Marketing Tools
Brand kit setup
Social media post scheduling with Content Planner
Fiverr gig graphics
Custom charts and mockups
Extras :
• Full Course in Hindi – Learn in your comfort zone
• Step-by-step sections for easy navigation
• Lifetime updates as Canva adds new tools
• Ideal for personal, academic, or business use
Time-Saving Benefits:
• Stop wasting hours on confusing software
• Avoid paying for expensive freelance designers
• Create pro-level designs in minutes – without design experience
Still thinking about it?
Canva is evolving fast – especially with powerful AI tools being added every month. This is your chance to learn everything in Hindi, with lifetime access to updates.
Plus, you’re backed by Udemy’s 30-day money-back guarantee – so you have nothing to lose, and powerful design skills to gain!
Ready to master Canva in 2025?
Click Enroll Now and let’s start your journey from beginner to Canva pro – one easy step at a time!
Development
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Description
You're looking for a complete Linear Regression and Logistic Regression course that teaches you everything you need to create a Linear or Logistic Regression model in Python, right?
You've found the right Linear Regression course!
After completing this course you will be able to:
Identify the business problem which can be solved using linear and logistic regression technique of Machine Learning.
Create a linear regression and logistic regression model in Python and analyze its result.
Confidently model and solve regression and classification problems
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.
What is covered in this course?
This course teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.
Below are the course contents of this course on Linear Regression:
Section 1 - Basics of Statistics
This section is divided into five different lectures starting from types of data then types of statistics
then graphical representations to describe the data and then a lecture on measures of center like mean
median and mode and lastly measures of dispersion like range and standard deviation
Section 2 - Python basic
This section gets you started with Python.
This section will help you set up the python and Jupyter environment on your system and it'll teach
you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.
Section 3 - Introduction to Machine Learning
In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.
Section 4 - Data Preprocessing
In this section you will learn what actions you need to take a step by step to get the data and then
prepare it for the analysis these steps are very important.
We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation and correlation.
Section 5 - Regression Model
This section starts with simple linear regression and then covers multiple linear regression.
We have covered the basic theory behind each concept without getting too mathematical about it so that you
understand where the concept is coming from and how it is important. But even if you don't understand
it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results, what are other variations to the ordinary least squared method and how do we finally interpret the result to find out the answer to a business problem.
By the end of this course, your confidence in creating a regression model in Python will soar. You'll have a thorough understanding of how to use regression modelling to create predictive models and solve business problems.
How this course will help you?
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular techniques of machine learning, which is Linear Regression and Logistic Regregression
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through linear and logistic regression.
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
------------
Below is a list of popular FAQs of students who want to start their Machine learning journey-
What is Machine Learning?
Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
What is the Linear regression technique of Machine learning?
Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value.
Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x).
When there is a single input variable (x), the method is referred to as simple linear regression.
When there are multiple input variables, the method is known as multiple linear regression.
Why learn Linear regression technique of Machine learning?
There are four reasons to learn Linear regression technique of Machine learning:
1. Linear Regression is the most popular machine learning technique
2. Linear Regression has fairly good prediction accuracy
3. Linear Regression is simple to implement and easy to interpret
4. It gives you a firm base to start learning other advanced techniques of Machine Learning
How much time does it take to learn Linear regression technique of machine learning?
Linear Regression is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Linear regression starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of Linear regression.
What are the steps I should follow to be able to build a Machine Learning model?
You can divide your learning process into 4 parts:
Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.
Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model
Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python
Understanding of Linear and Logistic Regression modelling - Having a good knowledge of Linear and Logistic Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.
Why use Python for data Machine Learning?
Understanding Python is one of the valuable skills needed for a career in Machine Learning.
Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:
In 2016, it overtook R on Kaggle, the premier platform for data science competitions.
In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.
In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.
Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.
Description
You're looking for a complete Classification modeling course that teaches you everything you need to create a Classification model in R, right?
You've found the right Classification modeling course covering logistic regression, LDA and kNN in R studio!
After completing this course, you will be able to:
· Identify the business problem which can be solved using Classification modeling techniques of Machine Learning.
· Create different Classification modelling model in R and compare their performance.
· Confidently practice, discuss and understand Machine Learning concepts
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular Classification techniques of machine learning, such as Logistic Regression, Linear Discriminant Analysis and KNN
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem using classification techniques.
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a classification model, to solve business problems.
Below are the course contents of this course on Logistic Regression:
· Section 1 - Basics of Statistics
This section is divided into five different lectures starting from types of data then types of statistics then graphical representations to describe the data and then a lecture on measures of center like mean median and mode and lastly measures of dispersion like range and standard deviation
· Section 2 - R basic
This section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R.
· Section 3 - Introduction to Machine Learning
In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.
· Section 4 - Data Pre-processing
In this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important.
We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation.
· Section 5 - Classification Models
This section starts with Logistic regression and then covers Linear Discriminant Analysis and K-Nearest Neighbors.
We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
We also look at how to quantify models performance using confusion matrix, how categorical variables in the independent variables dataset are interpreted in the results, test-train split and how do we finally interpret the result to find out the answer to a business problem.
By the end of this course, your confidence in creating a classification model in R will soar. You'll have a thorough understanding of how to use Classification modelling to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
------------
Below is a list of popular FAQs of students who want to start their Machine learning journey-
What is Machine Learning?
Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Which all classification techniques are taught in this course?
In this course we learn both parametric and non-parametric classification techniques. The primary focus will be on the following three techniques:
Logistic Regression
Linear Discriminant Analysis
K - Nearest Neighbors (KNN)
How much time does it take to learn Classification techniques of machine learning?
Classification is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn classification starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of classification.
What are the steps I should follow to be able to build a Machine Learning model?
You can divide your learning process into 3 parts:
Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.
Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model
Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python
Understanding of models - Fifth and sixth section cover Classification models and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.
Why use R for Machine Learning?
Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine learning in R
1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing.
2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind.
3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science.
4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R.
5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science.
What is the difference between Data Mining, Machine Learning, and Deep Learning?
Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.
Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.
Description
If you are searching for a course to learn LookML, the language that powers Google Looker, then this is the training for you.
In this course, we will start from the very basic level and cover all the important aspects of LookML
This is a concise, only four hour course and can be easily completed in just one weekend.
Below are some frequently asked questions about LookML and Looker:
What is LookML used for?
LookML is a language for describing dimensions, aggregates, calculations, and data relationships in a SQL database. Looker uses a model written in LookML to construct SQL queries against a particular database.
Is LookML easy to learn?
Looker ML is a very simple language that anyone can learn, once they have mastered the fundamentals. In this course, we will go step-by-step to learn this from beginner level to advanced level.
Is LookML similar to SQL?
In short, LookML is SQL evolved. It leverages SQL's power in a way that's familiar to analysts, while abstracting away the low-level concerns that analysts usually have to manage. It's a powerful language with a huge community of developers who support each other.
A Verifiable Certificate of Completion is presented to all students who undertake this LookML course.
Why should you choose this course?
This is a complete and concise tutorial on LookML which can be completed within 4-5 hours. We know that your time is important and hence we have created this fast paced course without wasting time on irrelevant operations.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Science and Machine Learning for over a decade. We have in-depth understanding on and practical exposure to Google Looker and Data Visualization.
We are also the creators of some of the most popular online courses - with over 1,000,000 enrollments and thousands of 5-star reviews like these ones:
I had an awesome moment taking this course. It broaden my knowledge more on the power use of Excel as an analytical tools. Kudos to the instructor! - Sikiru
Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. - Armand
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, Google Looker, LookML or anything related to any topic, you can always post a question in the course or send us a direct message.
And so much more!
By the end of this course, your confidence in using LookML will soar. You'll have a thorough understanding of how to use LookML for creating insightful dashboards and beautiful reports.
Go ahead and click the enroll button, and I'll see you in lesson 1 of this Google Data Studio course!
Cheers
Start-Tech Academy
Description
Unlock the door to a thrilling career in iOS development!
As the tech industry evolves, the demand for skilled iOS developers continues to rise. By joining this course, you're stepping into a world where creativity meets innovation, with a SIX-FIGURE PAY, a significant IMPACT ON SOCIETY, and the flexibility to work in diverse environments.
Welcome aboard! It's great to see your enthusiasm to learn iOS development from the ground up. Whether you're new to programming or looking to switch gears, I'm here to guide you every step of the way.
In this course, you'll learn how to code with Swift 5.9 and develop stunning apps for iOS 17 on the iPhone—even with zero programming experience! Through engaging, fun video tutorials, I'll walk you through the fundamentals of app development, equipping you with the skills needed to excel as an iOS app developer.
The course includes 3.5 HOURS of HD video tutorials and builds your programming knowledge while doing real world tasks.
Every lesson contain practical topic and given by small chunks, so you never get bored and you will use your new knowledge exactly after each lesson. Because practice - is most important in programming.
MORE THAN 80% OF THIS COURSE IS PRACTICE, PRACTICE AND PRACTICE.
YOU WILL LEARN HOW TO:
Write code with the Swift programming language
Make a basic UI with SwiftUI
Bring it all together to build a real app that works and reacts to user input!
By the end of this course, you will know the basics of Swift 5.9 and be ready to make a simple app with basics of SwiftUI.
OTHER REASONS TO JOIN THIS COURSE:
Don’t waste your time
Don't waste another minute of your precious life on poor quality videos on YouTube. Or instructors who you can't understand. Or teachers who have no real-world, in-person teaching experience. Your time is precious!
Don't waste your money
Inside this course, you're getting exactly the same curriculum as I give my students in person in personal classes. Instead of spending a lot of $ on offline courses, where you don’t get such a deep understanding of how things work, or taking time off work for those! Save loads of money by getting this course, and start building your career by completing small practical tasks!
WHO AM I?
My name is Illia Postoienko! I’m an iOS engineer from Ukraine. I’ve been working for 6+ years in iOS development, and I have over 7 years of overall experience in IT. By this time, I was working for big and small companies, outsource and products, and even one tech giant from the Fortune 500 list: Cisco Systems. And even now, I'm working on new beautiful apps that help people fulfill their needs and solve real-life problems.
I’m happy to share my knowledge with you. With me, you could also become an iOS developer and help people solve real life problems within their phones by connecting them with business/organisations or just providing a useful service for their needs.
Doesn’t that sound amazing?
REMEMBER…
I'm so confident that you'll love this course that we're offering a FULL money back guarantee for 30 days! So it's a complete no-brainer; sign up today with ZERO risk and EVERYTHING to gain.
So, what are you waiting for? Click the “Buy Now” button and take your first step toward the career of an iOS developer!
If you find the coupon expired, please follow us on Telegram to watch for it if released again.
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