Collection of Courses Number 73
- Direct to the Category
- Development
- IT & Software
- Marketing
- Business
- Design
Development
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Description
Want to learn Web Design & Web Development Skills? Then this is the RIGHT course For you! Many languages came and disappear but JavaScript is language that is enjoying a high run and demand in the programming world. The very first things you need to learn HTML5, CSS3, JavaScript and JQuery to become a Web Developer and off-course some Web Design Guidelines. This course will exactly teach you all these New Skills to become a good Web Developer. In this course, you will also learn Web Design Guidelines, which you can apply to Real World Websites.
This course will first give basic understanding of HTML5, CSS3, JavaScript, JQuery and then by combining all these skills, you will Build a Modern Looking Responsive Website which will look Great on all the Small and Wide Screens.
JavaScript is THE most important programming language you need to learn as a web developer - and with this course, you make sure that you will not miss a single thing you have to know as a JavaScript developer!
This is the most comprehensive and modern course you can find on JavaScript - it's based on all my JavaScript knowledge AND teaching experience. It's both a complete guide, starting with the core basics of the language, as well as an extensive reference of the JavaScript language and environment, ensuring that both newcomers as well as experienced JavaScript developers get a lot out of this course!
It's a huge course because it's packed with important knowledge and helpful content. From the core basics, over advanced concepts and JavaScript specialties, all the way up to expert topics like performance optimization and testing - this course has it all. My goal was to create your go-to resource for the JavaScript language, which you can not just use for learning it but also as a resource you can come back to and look up important topics.
Description
On successful completion of the course, you will be able to program in the professional object-oriented programming (OOP) paradigm in Python, which allows you to start your programmer career. All professional Python programmers develop applications the OOP way. You, too, will be able to write complex, scalable programs in Python on completion of this course.
The course follows a practical approach where students learn by actively problem-solving towards the tangible goal of creating real-world Python programs. The course covers real-world Python programs that you will develop using the object-oriented programming (OOP) paradigm.
Apart from learning Python, in this course, students also learn to use all the necessary tools and techniques they need to become a professional Python programmer. These are software design principles, writing highly organized code, code planning, code refactoring, SQL databases, and more.
We designed this course for both absolute and non-absolute beginners. However, if you are an intermediate who knows Python well, you may still benefit from the course because it covers some advanced Python and programming concepts that you will hardly find anywhere else. Advanced concepts, such as abstract classes, class methods, composition, refactoring, etc., will be comprehensively covered and practiced in the course.
Do I need previous experience with other programming languages to take this course?
No. In fact, in this course, you will not merely learn Python syntax. You will understand Python from the inside-out from the computer science perspective so that you will have a deeper understanding of how programming works.
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
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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 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 Course on Deep Learning using Keras and Tensorflow that teaches you everything you need to create a Neural Network model in Python and R, right?
You've found the right Neural Networks course!
After completing this course you will be able to:
Identify the business problem which can be solved using Neural network Models.
Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.
Create Neural network models in Python and R using Keras and Tensorflow libraries and analyze their results.
Confidently practice, discuss and understand Deep Learning concepts
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course.
If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in Python without getting too Mathematical.
Why should you choose this course?
This course covers all the steps that one should take to create a predictive model using Neural Networks.
Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the 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 Deep 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 250,000 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 Practice test, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems.
Below are the course contents of this course on ANN:
Part 1 - Python and R basics
This part gets you started with Python.
This part 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.
Part 2 - Theoretical Concepts
This part will give you a solid understanding of concepts involved in Neural Networks.
In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model.
Part 3 - Creating Regression and Classification ANN model in Python and R
In this part you will learn how to create ANN models in Python.
We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. We also solve a regression problem in which we try to predict house prices in a location. We will also cover how to create complex ANN architectures using functional API. Lastly we learn how to save and restore models.
We also understand the importance of libraries such as Keras and TensorFlow in this part.
Part 4 - Data Preprocessing
In this part you will learn what actions you need to take to prepare Data 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.
By the end of this course, your confidence in creating a Neural Network model in Python will soar. You'll have a thorough understanding of how to use ANN 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 are some popular FAQs of students who want to start their Deep learning journey-
Why use Python for Deep Learning?
Understanding Python is one of the valuable skills needed for a career in Deep 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.
Deep 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
Are you ready to unlock the full potential of mobile app development? Welcome to the "Flutter for Beginners: Learn to Build Mobile Apps with Ease" course! In this comprehensive learning journey, you'll go from a beginner to a proficient Flutter developer, capable of creating stunning and functional mobile applications for both iOS and Android platforms.
Flutter is a powerful framework that empowers developers to build high-quality apps with a single codebase. Whether you're an aspiring developer or an experienced programmer looking to add mobile app development to your skillset, this course is designed to guide you every step of the way.
Course Highlights:
Section 1: Welcome Begin your journey with a warm welcome to the world of Flutter. Get ready to explore the ins and outs of mobile app development using this cutting-edge framework.
Section 2: Introduction Dive into the basics of Flutter, from its architecture to its unique features. Discover how Flutter's reactive framework can help you create beautifully designed and performant apps.
Section 3: Widgets are the heart of Flutter, and in this section, you'll master them. Learn about the different types of widgets, their properties, and how to create responsive and interactive user interfaces.
Section 4: Building a Complete Application Using the Stateful Widget Put your knowledge into action by building a complete app from scratch. Explore the power of the stateful widget as you create dynamic user interfaces and manage user interactions seamlessly.
Section 5: Building User Management Application Using SQLite Take your skills a step further by building a real-world application. Learn how to integrate SQLite, a local database, to develop the User Management app. Understand data persistence and efficient management of user data.
Throughout the "Flutter for Beginners: Learn to Build Mobile Apps with Ease" course, you'll not only gain a solid foundation in Flutter development but also create practical applications that showcase your skills. With hands-on projects, practical examples, and expert guidance, you'll build the confidence needed to tackle mobile app development challenges.
Our instructor, an experienced Flutter developer, will be with you every step of the way, offering insights, tips, and best practices. By the time you complete this course, you'll be well-equipped to create your own cross-platform mobile apps and embark on a successful journey as a Flutter developer.
Are you ready to become a master of mobile app creation? Enroll now in the "Flutter for Beginners: Learn to Build Mobile Apps with Ease" course and bring your app ideas to life!
Don't miss out on this opportunity to become a skilled Flutter developer. Join us in this exciting learning adventure and take your mobile app development skills to new heights!
Description
Want to learn Web Design & Web Development Skills? Then this is the RIGHT course For you! Many languages came and disappear but JavaScript is language that is enjoying a high run and demand in the programming world. The very first things you need to learn HTML5, CSS3, JavaScript and JQuery to become a Web Developer and off-course some Web Design Guidelines. This course will exactly teach you all these New Skills to become a good Web Developer. In this course, you will also learn Web Design Guidelines, which you can apply to Real World Websites.
This course will first give basic understanding of HTML5, CSS3, JavaScript, JQuery and then by combining all these skills, you will Build a Modern Looking Responsive Website which will look Great on all the Small and Wide Screens.
JavaScript is THE most important programming language you need to learn as a web developer - and with this course, you make sure that you will not miss a single thing you have to know as a JavaScript developer!
This is the most comprehensive and modern course you can find on JavaScript - it's based on all my JavaScript knowledge AND teaching experience. It's both a complete guide, starting with the core basics of the language, as well as an extensive reference of the JavaScript language and environment, ensuring that both newcomers as well as experienced JavaScript developers get a lot out of this course!
It's a huge course because it's packed with important knowledge and helpful content. From the core basics, over advanced concepts and JavaScript specialties, all the way up to expert topics like performance optimization and testing - this course has it all. My goal was to create your go-to resource for the JavaScript language, which you can not just use for learning it but also as a resource you can come back to and look up important topics.
IT & Software
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Description
Welcome to my comprehensive Microsoft Azure training course, your ultimate guide to mastering the skills needed to excel in the dynamic world of cloud computing. Whether you're an IT professional or a curious learner, this hands-on course is designed to empower you with the knowledge and practical experience necessary to thrive in the Microsoft Azure ecosystem.
Throughout this course, we'll dive deep into Microsoft Azure, covering cloud infrastructure management, Azure services utilisation, and essential Azure fundamentals. This expert-led instruction will equip you with the expertise to succeed in cloud computing.
In our journey, we'll explore vital topics, including cloud deployment strategies, robust security practices, and cloud management techniques. By enrolling in this course, you're taking a significant step toward enhancing your cloud skills and making yourself a valuable asset in today's competitive job market.
Microsoft Azure skills are in high demand, and this course ensures you have the competitive edge. Whether your goal is career advancement or a deep understanding of cloud computing, this course is your ticket to success.
Join me today and gain essential Azure skills, elevate your cloud expertise, and unlock exciting opportunities in the world of cloud computing. Enroll now to become a Microsoft Azure expert and position yourself at the forefront of this transformative industry.
Description
Welcome to my comprehensive Microsoft Azure training course, your ultimate guide to mastering the skills needed to excel in the dynamic world of cloud computing. Whether you're an IT professional or a curious learner, this hands-on course is designed to empower you with the knowledge and practical experience necessary to thrive in the Microsoft Azure ecosystem.
Throughout this course, we'll dive deep into Microsoft Azure, covering cloud infrastructure management, Azure services utilisation, and essential Azure fundamentals. This expert-led instruction will equip you with the expertise to succeed in cloud computing.
In our journey, we'll explore vital topics, including cloud deployment strategies, robust security practices, and cloud management techniques. By enrolling in this course, you're taking a significant step toward enhancing your cloud skills and making yourself a valuable asset in today's competitive job market.
Microsoft Azure skills are in high demand, and this course ensures you have the competitive edge. Whether your goal is career advancement or a deep understanding of cloud computing, this course is your ticket to success.
Join me today and gain essential Azure skills, elevate your cloud expertise, and unlock exciting opportunities in the world of cloud computing. Enroll now to become a Microsoft Azure expert and position yourself at the forefront of this transformative industry.
Marketing
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Description
Let’s set the scene.
Your biggest client just left.
You are in $10,000 in debt and you absolutely need to make LinkedIn work for you.
How are you going to start growing your LinkedIn Account so that you can turn it into a profitable business ASAP?
After working with LinkedIn Headquarters for years and networking with the top influencers on the platform. I can’t wait to share with you all the secrets to get everything done with AI in seconds.
Here’s how to do it.
First you need to optimize your profile.
You have 5 seconds to turn visitors into followers.
Your profile should answer these questions:
-What have you done?
-What can you do for me?
-What are you working on now?
I’ll help you answer all these questions and more with AI so that your LinkedIn profile becomes a High Converting Landing Page, attracting leads on autopilot every day.
Second, you need to get traffic.
You can’t afford ads. You’re broke, remember?
It time to post viral content and use that to get organic eyeballs on your account for free.
There are 3 types of content:
-Growth Content
-Nurture content
-Conversion content
And I’ll show you how to use AI to create all these content in seconds so that you not only have high engaging content getting you traffic every day
but also, you’ll have a complete content calendar for the month done, showing you exactly what to post and when.
Stress free life here we come!
Third, you need to Network the Easy way to get clients
Let me show you step by step, how to find high quality leads with your LinkedIn account in seconds,
How to write High Converting Connection requests by using my proven templates,
How to steal followers from others on the platform
How to use AI to create personalized messages to convert those leads into customers the easy way.
And more.
So are you ready for the LinkedIn Adventure?
Start at Week 1 to give your Profile a Makeover so it becomes a high converting Landing Page collecting leads for you while you sleep.
Start at Week 2 to have all your High Engaging content created so you are building authority on autopilot.
Or Start at Week 3 to Network the Easy way, build relationships, and convert your leads into customers with AI.
There's not a moment to lose.
It's time to help you get your next high paying client ASAP!
Description
Hello and welcome to the Easy YouTube Ads Academy!
I created this course because running ads can be extremely stressful, frustrating and discouraging if you are not careful.
I bet no one lay it out for you as clear as this before but these are the steps you need to take… when running a YouTube ad campaign.
Step 1, you have to create a Google Ads Account and a new YouTube Channel. You want to create a separate channel specifically to run ads so as not to effect the organic reach of your regular channel.
Step 2, you have to do research on the different keywords, placement, and topics you want to target for… that is related to your products and brand.
Step 3, it’s time to create your video Ad! Most people do this before they do research and that’s a mistake because your ad, needs to be filled with keywords that resonates with your potential customers. And you figure what those keywords are during your research.
Step 4, is to create the Landing Page design that you will be sending the traffic to once you start running the ads. The website design needs to reflect the actual video ad that people are seeing.
Step 5 is to setup tracking tags so that every click, every visitor, and every conversion is recorded in your google ads account, to keep your data accurate and for future re-marketing campaigns.
Step 6, is to finally setup your ad campaign! It’s an exciting step but also the most stressful because there are tons of variables to consider, such as what should your starting budget be? Which countries have higher conversion rates and which should you target? Where should you exclude your video ads from being seen? Which devices should you target and are they all created equal? What frequenting capping should you use to make sure your ads don’t burn out that fast? Which demographic should you target to get the maximum bang for your buck? What’s the best Cost Per View to start off with and more.
Step 7, is to look at all the data and optimize your campaigns… which is just a fancy word for ditching losers and scaling winners.
This is what confuses the most people because just look at all the data. How do you know what to look for? How do you arrange the columns of data so that you are looking at only the stats that matter? How do you compare the view rate with the Click through Rates to decide if an ad is working or not? How do you determine which video, which keyword, which placement ads to keep pouring money into and which ads to cut off right away?
Running ads is almost like betting on horse racing. Each horse is your campaign. Which one should to cut from the team and which one should you continue to invest in and let them run to continue to make you money?
There’s like a million questions right? And the people who have figured it out have an unfair advantage over their competitors. They can afford to continue running ads and grow their business while their competitors is forgotten. In business, if you don’t have a constant supply of traffic… your business will die and be forgotten.
If all this sounds discouraging to you. Don’t worry. I was sitting in your extract seat years ago. I know what it feels like to run ads for the first time that’s why I will hold your hand and guide you step by step.
My goal is to decrease your cost, increase your views, clicks, and conversions. Because if you can do that, you will be able to reach that sweet spot, that spot where if you spend $1 in ads you get $2 or more back. And if you can get to that point, you would run ads nonstop and build your business and turn it into an empire.
But it all starts with understanding how running ads work, that’s why I created this introduction week for you. It will explain the simple math’s behind running ads, the difference between Facebook vs. Google Advertising, The different types of YouTube Ad formats and which one to use for your business, the 13 biggest YouTube ad mistakes that are costing beginners a fortune when running ads the first time, and finally, a review over the steps of Running YouTube ads so that you make sure to do it right the first time. Because every dollar counts.
Business
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Description
If you're looking to take your career to the next level by mastering data analytics, you're in the right place! Do you ever wonder how top companies like Amazon, Netflix, and Google make informed decisions? The answer is Business Intelligence, and this course will teach you the fundamentals of it using SQL and Tableau.
Business Intelligence Mastery with SQL and Tableau [2-in-1] is a comprehensive course that covers the essentials of Business Intelligence, equipping you with the skills to leverage data to drive business decisions.
In this course, you will:
Develop a deep understanding of SQL and its practical applications in extracting insights from complex data sets
Master Tableau to create interactive dashboards and visualize complex data with ease
Explore real-world case studies and practice exercises to apply your skills in practice
Gain a competitive edge in the job market by acquiring highly sought-after Business Intelligence skills
Get access to lucrative career opportunities in various domains such as finance, marketing, and operations
Business Intelligence is a key element of success in today's data-driven world. By learning SQL and Tableau, you'll gain a competitive edge in the job market and be able to work with data to inform business decisions.
Throughout the course, you'll be challenged with quizzes, exercises, and projects to cement your learning and apply your skills in practice. Our experienced instructors have designed this course to ensure that you have a solid understanding of Business Intelligence and are well-equipped to take on any data analytics challenge.
Why learn from us? Our instructors are experts in the field of Business Intelligence and have extensive experience working with SQL and Tableau. By enrolling in this course, you'll receive personalized support and guidance throughout your learning journey.
Business Intelligence Mastery with SQL and Tableau [2-in-1] is the perfect course for anyone looking to take their career to the next level.
Enroll today and start unlocking the power of data!
Description
Welcome to course: Art Therapy for Business: Practical Usage in General Business
! Full income from sales of the course will be used in Charity goals
- Different Strokes was set up in 1996 in direct response to a need from younger stroke survivors to be able to reclaim their lives, challenging previously existing views of stroke recovery and changing the term for stroke sufferers from ‘victim’ to ‘survivor’.
- Program of support of kids with mental deseases and additional mental needs
You may support additionally these programs with purchasing or supporting of promotion of that course and Art Therapy Program.
Different Strokes are a UK Charity who help younger stroke survivors and their families to reclaim their lives through active peer support. Each year there are 100,000 strokes in the UK; 1 in 4 of these occurs in somebody of working age or younger. Different Strokes recognises that younger stroke survivors and family members are the experts in stroke recovery and rehabilitation with first-hand knowledge of the issues and challenges facing families after stroke.
Different Strokes has a Facebook Group for stroke survivors, family members and carers to share experiences, reduce isolation and improve coping strategies by learning from others. Stroke survivors can access a safe environment to chat and support each other twice a month at virtual meetings on Zoom. There is a Teen and Young Adult Befriending Service for stroke survivors aged 16 - 25 which offers support and advice by telephone. Exercise sessions specifically tailored for stroke survivors, set at five different levels to reflect the large variations in stroke survivors’ physical condition and mobility post-stroke, are available online. There is a network of peer stroke support groups run by volunteers around the country offering activities such as guest speakers, exercise sessions and group outings. Children’s Resources developed to help families explain what has happened when a parent has a stroke have been updated during 2023 to make them even more relevant, and inclusive, with the support of stroke survivors and their children.
Course Instructor:
Chris Sivewright
43+ years experience teaching Economics, Business, Sociology, Politics and other subjects in schools, universities and other colleges - State and Private Sector. Appeared in 100+ films (including corporate training and fitness videos). 100+ books on Amazon. Featured by the BBC, Polish TV, The Times, The Telegraph and...The Sun.
Studied at:
· University of Oxford (Philosophy and Economics)
· Oxford Brookes (Teacher training)
· University of Glamorgan (Business and Economics)
Qualifications
· Professional qualifications at Masters level
· Business and Economics degree
· Examiner for four major examining boards, at ‘O’ and ‘A’ level.
· Three teaching diplomas plus CELTA
· Qualified fitness trainer
Key academic positions held:
· Principal Oxford School of Learning
· Director of Studies: St Joseph’s Hall, Oxford
· Head of Economics: Cherwell Tutors
· Head of Business and Economics: Pipers Corner School, Buckingham
Founder: Almost Random Theatre
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 higher & 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, and resident of the incubator "The Fintech House of Portugal".
MTF is present in 204 countries and has been chosen by more than 220,000 students.
Art therapy can be a valuable tool for businesses in various ways, helping to improve teamwork, creativity, empathy, the design thinking process, corporate culture, and team cohesion. Here's why it's important for companies and managers to learn about art therapy for business and how it can contribute to career development:
Teamwork and Collaboration:
Art therapy encourages individuals to work together on creative projects, fostering teamwork and collaboration. Group art activities can break down communication barriers and help team members understand each other's strengths and weaknesses. This can translate into more effective collaboration in the workplace.
Creativity and Problem-Solving:
Art therapy taps into the creative aspects of the brain, enabling participants to think outside the box and approach problems with fresh perspectives. Creativity is a valuable asset for businesses, as it can lead to innovative solutions and product development.
Empathy and Emotional Intelligence:
Through art therapy, individuals can explore their own emotions and gain a deeper understanding of the emotions of others. This increased self-awareness and empathy can lead to improved interpersonal relationships, better conflict resolution, and a more empathetic workplace environment.
Design Thinking Process:
Art therapy aligns with the principles of design thinking, a problem-solving methodology that prioritizes empathy, creativity, and iterative solutions. Learning to think like a designer can be a valuable skill for managers and employees in various industries.
Corporate Culture:
Incorporating art therapy into company culture can enhance the overall work environment. It can promote a culture of inclusivity, where employees feel valued and heard. Moreover, art can serve as a powerful tool to communicate company values and mission, reinforcing them in a visually appealing manner.
Teaming and Cohesion:
Art therapy can be an effective way to strengthen the bonds within teams. Collaborative art projects promote a sense of togetherness and shared accomplishment. This can be particularly valuable in remote or diverse teams, where building a sense of unity is crucial.
Why it's important for companies and managers to learn art therapy for business:
Well-being and Stress Reduction:
Art therapy can help reduce workplace stress and enhance the mental well-being of employees. This, in turn, can lead to higher productivity, reduced absenteeism, and improved job satisfaction.
Innovation and Adaptability:
Companies that embrace creativity and adaptability are more likely to thrive. Art therapy can help individuals and teams become more innovative and flexible in their approach to challenges.
Talent Retention and Attraction:
Offering art therapy programs can make a company more attractive to potential employees and improve retention rates. It can demonstrate that the company cares about the personal and professional development of its staff.
Leadership and Communication Skills:
Managers who understand and utilize art therapy can improve their leadership and communication skills. They can better connect with their teams, foster creativity, and navigate complex workplace dynamics.
Career Development:
Learning about art therapy can be a valuable skill for career advancement. Managers who can create a positive, creative, and empathetic work environment are more likely to be effective leaders and advance in their careers.
Art therapy can be a powerful tool for enhancing various aspects of business, from improving teamwork and creativity to fostering empathy and strengthening corporate culture. Companies that invest in art therapy programs may reap the benefits of a more creative and harmonious workplace, ultimately leading to improved employee satisfaction, innovation, and business success. Managers who understand and incorporate art therapy principles can become more effective leaders and advance in their careers while contributing to the overall growth of their organizations.
Description
Identifying the need for, instilling and controlling quality within an organization is a skill highly in demand today. To enable you to do this, the 7 tools of quality are a set of tools tried and tested in a range of industries, sectors and organizations of all sizes. They can be used for many different purposes including identifying the distribution and frequency of data points, assessing the stability and performance of a process, understanding the root cause of a problem and graphically showing you the current state of your key operations. In this course, we will:
- Learn about the fundamentals of quality, looking at examples, how to monitor it and why it is important.
- Review each of the tools, breaking them down into what they are, when they should be used and why.
- Run through a series of practical demonstrations, based on real life scenarios, to show you how to deploy the tools in full.
- Learn about what you should expect as outputs from the tools, what good looks like and how to determine the best tool for the job, depending on the situation at hand.
These tools can help you to identify that quality is indeed required, that established quality is in danger and show you the path to improvement. They can be used reactively and proactively, to understand current performance and future risks and, crucially, can be trained out to others to deploy as part of their daily activities - improving quality and performance one colleague at a time.
Design
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Description
Welcome to the Adobe Illustrator Masterclass! This comprehensive course is designed to equip you with the essential skills and knowledge needed to become a proficient graphic designer using Adobe Illustrator.
Whether you're a beginner or have some experience with the software, this course will take you on a transformative journey, from the fundamentals to advanced techniques. You'll gain a solid understanding of Illustrator's powerful tools and features while learning how to create stunning visual designs for various purposes, such as branding, marketing materials, illustrations, and more.
Through a combination of theoretical explanations, hands-on exercises, and practical projects, you'll build a strong foundation in vector graphics creation. You'll learn how to navigate the Illustrator interface, manipulate shapes, lines, and colors, work with typography, and apply advanced techniques like masking, blending, and effects.
Key Course Features:
Master the Illustrator Interface: Discover the ins and outs of the Illustrator workspace, tools, and panels, and learn how to customize them to suit your workflow.
Shape and Object Manipulation: Explore the power of vector graphics by mastering shape creation, transformation, alignment, and precise object manipulation.
Color and Gradient Mastery: Dive into the world of color theory, learn how to create and apply swatches, gradients, and patterns to bring life to your designs.
Typography Techniques: Enhance your design with captivating typography by exploring font selection, text manipulation, and creative typographic effects.
Advanced Techniques: Unlock the full potential of Illustrator by mastering advanced techniques like masking, blending, effects, and working with layers.
Project-Based Learning: Apply your knowledge and skills to real-world projects, including logo design, poster creation, packaging design, and more.
Tips and Tricks: Discover time-saving shortcuts, productivity hacks, and professional workflows to streamline your design process.
By the end of this course, you'll have the confidence and expertise to create professional-grade graphic designs using Adobe Illustrator. Whether you aspire to become a graphic designer, freelance illustrator, or simply want to enhance your creative skills, this course is your gateway to mastering Illustrator and unleashing your graphic design potential.
Enroll now and embark on your creative journey with Adobe Illustrator!
Description
This is a comprehensive course on 3D printing.
It includes basic terminology, printer comparison, techniques, filaments and even used software.
The course is useful both for design and modeling users who hope to know the fundamentals of 3D printing, as well as for entrepreneurs who want to enter the business and need to choose a technique, a printer or advantages of one or another filament.
For advanced users, the course offers advanced settings for both software and the use of gcode for Cura.
The basics - 3D Printing
What is 3D Printing?
3D Printing Technologies
Types of Filament
3D Printer Terminology
Important Print Settings
3D Printer Options - Creality
Printer Options - Prusa: Comparing commonly purchased FDM printers of varying price ranges, including Creality, Ultimaker, Prusa
3D Printer Options - Ultimaker: Comparing commonly purchased FDM printers of varying price ranges, including Creality, Ultimaker, Prusa
Slicer Programs: Discussing the different available Slicer program options for 3D printing, comparing Simplify3D and Cura as the main recommendations
Free CAD Programs: Discuss commonly used free cad options, including freecad, tinkercad, blender, fusion 360, onshape, sketchup, and briefly mention solidworks
Basics of Solid works
Sketching and Drawing
#AulaGEO
Cura3D modeling for 3d Print
Cura Installation and Machine Setup.
Exporting Solidworks File to STL and Opening in Cura.
Cura View Movement and Model Selection.
Cura Model Rotation and Scaling.
Right Clicking Cura Model.
Cura Preferences and View Modes.
Basic Cura Settings Part 1
Basic Cura Settings Part 2
Advanced Cura Settings
Expert Cura Settings Part 1
Expert Cura Settings Part 2
Cura advanced.
In this section is included 2 default cura plugins: Pause at height and tweak at Z.
Too, is covered what a temperatura tower is and how to set one up in Cura using the tweak at Z plugin.
Aditionally, how to interpret the result of temeprature tower, some general tips and finally how to work Gcode in Cura.
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