Collection of Courses Number 130
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- Office Productivity
- Development
- Business
- Marketing
- IT & Software
Office Productivity
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Description
Master Two Spreadsheet Giants: Learn Google Sheets and Microsoft Excel Simultaneously from the Ground Up
In today's data-driven world, spreadsheet proficiency is an essential skill for anyone aiming to excel in their professional or personal endeavors. This comprehensive course empowers you to master both Google Sheets and Microsoft Excel, two of the most widely used spreadsheet applications, equipping you with the skills to tackle data analysis, organization, and presentation with newfound confidence.
Learn the Essentials of Both Platforms:
Google Sheets: Master the user-friendly interface of Google Sheets, gaining proficiency in data entry, formula creation, and chart generation.
Microsoft Excel: Explore the advanced capabilities of Microsoft Excel, delving into data analysis, pivot tables, and macros.
What You'll Learn:
Foundations of Spreadsheets:
Understand the basics of spreadsheet terminology and functionality
Navigate the user interfaces of both Google Sheets and Microsoft Excel seamlessly
Data Entry and Formatting:
Learn efficient data entry techniques
Master formatting options to make your spreadsheets visually appealing and easy to understand
Formulas and Functions:
Explore the power of formulas and functions common to both Google Sheets and Excel
Create complex calculations to automate and analyze your data
Data Analysis and Visualization:
Utilize pivot tables and charts for insightful data analysis
Learn how to represent your findings visually for effective communication
Collaboration and Sharing:
Understand collaborative features in Google Sheets, such as real-time editing and comments
Explore Excel's sharing capabilities and version control
Advanced Features:
Dive into advanced features like macros and scripting to automate repetitive tasks
Discover unique capabilities in both platforms for enhanced productivity
Tips and Tricks for Efficiency:
Receive insider tips and shortcuts to boost your efficiency in both Google Sheets and Microsoft Excel
Why Take This Course:
Time Efficiency: Learn both Google Sheets and Microsoft Excel in one comprehensive course, saving you time and effort.
Versatility: Gain proficiency in the two most widely used spreadsheet platforms, making you versatile in any professional setting.
Hands-On Practice: Apply your knowledge through practical exercises and real-world examples.
Whether you're a student, professional, or entrepreneur, mastering both Google Sheets and Microsoft Excel will open doors to endless possibilities.
Description
The Complete Microsoft OneDrive Course - Mastering OneDrive: Utilize OneDrive for Maximum Productivity - Become the Master of OneDrive - Enhance Your Office Efficiency
With OneDrive, you can save your files and photos and access them from any device, anywhere, absolutely free. Use it to enhance your life experience; it has everything you need, from backup and sync features to personal value. (Organized. Protected. Connected.)
Enjoy the freedom of anywhere access: edit and share your files on all your devices, wherever you are. Backup and protect: If you lose your device, you won't lose your files and photos when they're saved in OneDrive. Share and collaborate: Stay connected, share your documents and photos with friends and family, and collaborate in real-time with Office apps.
OneDrive offers features to make life easier and safer: Files On-Demand allows you to access all your OneDrive files in Windows 10 without taking up space on your PC. Document Scanning lets you use your mobile device to scan and store documents, receipts, business cards, notes, and more in OneDrive. Personal Vault provides a place to store important files and photos with an added layer of protection. (Source: OneDrive website)
This course is designed to help you become proficient in using OneDrive to increase your productivity. By the end of the course, you will have a solid understanding of how to use OneDrive effectively and efficiently in your daily work. We will cover everything from the basics of setting up and using OneDrive to advanced features like collaboration and integration with other tools. Whether you're new to OneDrive or looking to improve your skills, this course has something for everyone. Don't hesitate to join us now and start maximizing your productivity with OneDrive!
By taking this The Complete Microsoft OneDrive Course - Mastering OneDrive you will be able to:
Work with OneDrive easily and quickly
Understand everything in OneDrive
Differences between free plans and paid plans
Register yourself in a Microsoft Account and OneDrive
Back up your files from mobile and PC
Download the Desktop App and Mobile Phone App
Files and folder options and creating them
Upload and download files and folders in OneDrive
Share and collaborate on files and folders in OneDrive
Change and customize OneDrive settings to your preference
Picture options and tools in OneDrive
Work with Microsoft OneDrive Word
Work with Microsoft OneDrive Excel
Work with Microsoft OneDrive PowerPoint
Create Forms Survey in OneDrive
Take notes in OneNote
Type in the Plain text of OneNote
Configure Microsoft Account
Create and enter a strong password for logging into an account
Wait no more! Seize the opportunity to transform your life with Microsoft OneDrive - Enroll today!
This Microsoft OneDrive course is ideal for anyone searching for more info on the following: onedrive - one drive - Microsoft one drive - Microsoft - onedrive - onedrive office 365 - onedrive for business - office 365 admin - learn Microsoft one drive - Microsoft 365. Plus, this course will be a great addition to anyone trying to build out their knowledge in the following areas: Microsoft Teams - SharePoint - Microsoft Office 365.
Description
Those who desire to develop their skills in Excel should enroll in this course. You'll pick up new techniques, hints, functions, and shortcuts that will boost your productivity and efficiency at work. This course was developed to show Excel users how to avoid typical spreadsheet pitfalls and unlock Excel's full potential. We are confident that taking this course will help you gain the abilities you need because all the knowledge that is covered in it and that you will learn is exactly what we wish we had known when we first started using the Excel tool in a professional setting.
What You will Learn:
Lookup/Reference functions
Statistical functions
Formula-based formatting
Date & Time functions
Logical operators
Dynamic Array formulas
Text functions
Use advanced Excel shortcuts to navigate quickly and efficiently
Create and use complex Excel formulas and functions to analyze data and automate tasks
Build and use pivot tables and charts to visualize and analyze large datasets
Use Excel macros and VBA to automate repetitive tasks and create custom functions
You'll also learn how to avoid common Excel pitfalls and maximize the power of Excel.
By the end of the course you'll be writing robust, elegant formulas from scratch, allowing you to:
Easily build dynamic tools & Excel dashboards to filter, display and analyze your data
Create your own formula-based Excel formatting rules
Join datasets from multiple sources with XLOOKUP, INDEX & MATCH functions
Manipulate dates, times, text, and arrays
Automate tedious and time-consuming tasks using cell formulas and functions in Excel
Course Benefits
Learn the advanced Excel skills that are in high demand in today's job market
Save time and be more productive in your job
Automate tasks and streamline your workflow
Create more impressive reports and presentations
Become an Excel power user and stand out from the competition
Who Should Take This Course?
This course is ideal for:
Anyone who wants to learn advanced Excel skills
Anyone who wants to improve their Excel efficiency and productivity
Anyone who wants to get a job that requires advanced Excel skills
Anyone who wants to prepare for an Excel certification exam
If you're looking for the course with all of the advanced Excel formulas and functions that you need to know to become an absolute Excel ninja, you've found it.
Development
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Description
You're looking for a complete Linear Regression course that teaches you everything you need to create a Linear 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 regression technique of Machine Learning.
Create a linear regression model in Python and analyze its result.
Confidently practice, discuss and understand Machine Learning concepts
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.
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 technique of machine learning, which is Linear Regression
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through linear 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.
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.
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 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
Webflow is a powerful web design and development platform that allows you to create custom websites without writing any code. It's a great option for beginners, as it's easy to learn and use, and it gives you complete control over the design and functionality of your website.
In this course, you'll learn everything you need to know to get started with Webflow, from the basics of the interface to more advanced features like custom CSS and animations. You'll also build your own website from scratch, so you can put your new skills into practice.
What You'll Learn
In this course, you'll learn:
The basics of the Webflow interface
How to create and edit pages and layouts
How to add and customize elements
How to use Webflow's built-in design tools
How to create responsive websites
How to use custom CSS and animations
How to publish your website to the web
Who This Course Is For
This course is for anyone who wants to learn how to create and design websites using Webflow, including:
Beginners with no prior experience in web design or development
Experienced web designers who want to learn how to use Webflow
Freelancers and entrepreneurs who want to create their own websites without having to hire a developer
Requirements
To take this course, you'll need a computer with an internet connection. You don't need any prior experience in web design or development.
Enroll Today and Start Creating Your Own Websites with Webflow!
Description
You're looking for a complete course on Time Series Forecasting to drive business decisions involving production schedules, inventory management, manpower planning, and many other parts of the business., right?
You've found the right Time Series Forecasting and Time Series Analysis course using Python Time Series techniques. This course teaches you everything you need to know about different time series forecasting and time series analysis models and how to implement these models in Python time series.
After completing this course you will be able to:
Implement time series forecasting and time series analysis models such as AutoRegression, Moving Average, ARIMA, SARIMA etc.
Implement multivariate time series forecasting models based on Linear regression and Neural Networks.
Confidently practice, discuss and understand different time series forecasting, time series analysis models and Python time series techniques used by organizations
How will this course help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Time Series Forecasting course on time series analysis and Python time series applications.
If you are a business manager or an executive, or a student who wants to learn and apply forecasting models in real world problems of business, this course will give you a solid base by teaching you the most popular forecasting models and how to implement it. You will also learn time series forecasting models, time series analysis and Python time series techniques.
Why should you choose this course?
We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:
Theoretical concepts and use cases of different forecasting models, time series forecasting and time series analysis
Step-by-step instructions on implement time series forecasting models in Python
Downloadable Code files containing data and solutions used in each lecture on time series forecasting, time series analysis and Python time series techniques
Class notes and assignments to revise and practice the concepts on time series forecasting, time series analysis and Python time series techniques
The practical classes where we create the model for each of these strategies is something which differentiates this course from any other available online course on time series forecasting, time series analysis and Python time series techniques.
.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 Analytics and we have used our experience to include the practical aspects of Marketing and data analytics in this course. They also have an in-depth knowledge on time series forecasting, time series analysis and Python time series techniques.
We are also the creators of some of the most popular online courses - with over 170,000 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 on time series forecasting, time series analysis and Python time series techniques.
Each section contains a practice assignment for you to practically implement your learning on time series forecasting, time series analysis and Python time series techniques.
What is covered in this course?
Understanding how future sales will change is one of the key information needed by manager to take data driven decisions. In this course, we will deal with time series forecasting, time series analysis and Python time series techniques. We will also explore how one can use forecasting models to
See patterns in time series data
Make forecasts based on models
Let me give you a brief overview of the course
Section 1 - Introduction
In this section we will learn about the course structure and how the concepts on time series forecasting, time series analysis and Python time series techniques will be taught in this course.
Section 2 - Python basics
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.
The basics taught in this part will be fundamental in learning time series forecasting, time series analysis and Python time series techniques on later part of this course.
Section 3 - Basics of Time Series Data
In this section, we will discuss about the basics of time series data, application of time series forecasting, and the standard process followed to build a forecasting model, time series forecasting, time series analysis and Python time series techniques.
Section 4 - Pre-processing Time Series Data
In this section, you will learn how to visualize time series, perform feature engineering, do re-sampling of data, and various other tools to analyze and prepare the data for models and execute time series forecasting, time series analysis and implement Python time series techniques.
Section 5 - Getting Data Ready for Regression Model
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 6 - Forecasting using 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.
Section 7 - 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.
Section 8 - Creating Regression and Classification ANN model in Python
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.
I am pretty confident that the course will give you the necessary knowledge and skills related to time series forecasting, time series analysis and Python time series techniques to immediately see practical benefits in your work place.
Go ahead and click the enroll button, and I'll see you in lesson 1 of this course on time series forecasting, time series analysis and Python time series techniques!
Cheers
Start-Tech Academy
Description
CSS And Javascript Crash Course
1) Learn CSS Crash Course
This course shows you how to create CSS classes from a beginner's level. It starts off with basic HTML declarations, properties, values, and how to include a CSS style sheet with your HTML code. For those of you who are new to CSS and HTML, we show you step-by-step how to create a CSS file and include it in your HTML code, even if you use a cloud server for your hosting.
We show you how to position your elements, layout your elements relative to your documents, and style your HTML using predefined CSS values. We introduce you to the common CSS styling that you'll need when you start off designing your pages. If you want to get to know CSS and website design, this course is meant for you, and it can be used by anyone who hasn't even seen one line of CSS code yet. We focus on the latest CSS 3 and HTML 5 standards, so you get the latest when coding your website pages instead of focusing on older code.
There are no prerequisites. Anyone Can join this course. It is recommended though that individual have some basic computer programming knowledge.
Course Topics
Introduction to CSS
CSS Syntax
HTML 5 IN CSS
CSS Styling Text
Learn Javascript Programming
The curriculum is going to be very hands-on as we walk you from start to finish to become a professional Javascript developer. We will start from the very beginning by teaching you Javascript basics and programming fundamentals, and then execute into real-life practice and be ready for the real world.
While Javascript is complicated for beginners to learn, it is widely used in many web development areas.
This course gets you started with an introduction to JavaScript. It assumes that you're new to the language, so it gets you started with basic functionality such as creating functions, creating variables, and calling these lines of code from your standard HTML pages. It talks about events and triggers for custom event handling. It talks about pattern matching, searching for text within a page, flow control, and the document object model (DOM). We start off with the basics and move on to more complex functionality such as arrays and objects. We then discuss how to script common elements with JavaScript such as forms and tables. At the very end, we discuss major libraries such as Ajax, which allows you to make asynchronous calls to server-side scripts without reloading the web page in the server.
Master the fundamentals of writing Javascript scripts
Learn core Javascript scripting elements such as variables and Objects
Discover how to work with lists and sequence data
Write Javascript functions to facilitate code reuse
Use Javascript to read and write files
Make their code robust by handling errors and exceptions properly
Search text using regular expressions
The topics covered in this course are practicals of:
* Javascript Course Contents:
Javascript Array
Javascript Variables
Javascript Functions
Javascript Objects
Description
Welcome!
Hello everyone, and welcome to the course that will help you prepare for your coding interviews!
Specifically, we will be breaking down the easy collection of LeetCode's Top Interview Questions playlist. This playlist includes 46 problems that are very commonly asked by interviewers from large tech companies such as Apple, Meta, Google, Uber, and many more! We will learn how to approach problems of all kinds, such as those consisting of Arrays, Strings, Linked Lists, Trees, Dynamic Programming, Design, Math, and general knowledge, while also learning useful concepts and tricks which will help when facing more difficult problems.
What is LeetCode?
Simply put, LeetCode is a large repository filled with interview questions asked by the top tech companies around the world (Google, Facebook, Amazon, and many more).
The main problem as a new user on LeetCode is that there are ENDLESS amounts of questions that you can find on there so you may not know which questions are the most common/beneficial to go over. This course's purpose is to provide a solution to this issue, as I go over the Top Inteview Questions recommended by LeetCode. If you are looking to ace your upcoming coding interview or even just to strengthen your problem solving skills, then look no further as you have found the one-stop-shop to become a problem solving machine.
Course Overview
For each problem in the playlist, I have a video dedicated to explaining the thought process in detail which will lead us to the most efficient solution, paired with a visual to aid in explaining the algorithm. After we understand the approach for the most efficient solution, I will translate the visual into Java code, breaking down every line as I code it. After the entire solution is implemented, we will analyze the time and space complexity of the solution.
Description
Unlock the power of Java programming with our comprehensive "Java Masterclass: The Complete Guide" course. Designed for aspiring programmers, this course is your gateway to mastering Java from the ground up. Starting with the basics, you'll learn how to create projects, run programs, understand the difference between print() and println(), utilize comments effectively, and grasp essential concepts such as variables, data types, and identifiers. Dive into the world of operators, including arithmetic, assignment, relational, and logical operators, along with conditional statements like if-else and switch statements.
Delve deeper into Java's functionality with loops, functions, arrays, and strings. Learn how to work with arrays, manipulate strings, and utilize object-oriented programming (OOP) principles to create classes, understand inheritance, and implement interfaces. Throughout the course, you'll benefit from practical examples, hands-on exercises, and clear explanations to reinforce your understanding.
By the end of this course, you'll have a solid foundation in Java programming, enabling you to build your own Java applications with confidence. Whether you're looking to kickstart your programming career or expand your skill set, this Java Masterclass is your comprehensive guide to mastering one of the most widely used programming languages in the world. Start your journey to Java mastery today and unlock endless possibilities in software development and beyond.
By completing this masterclass, you'll be equipped with the knowledge and skills to:
Develop robust Java applications from scratch.
Understand the fundamental concepts of programming and how they apply to Java.
Effectively utilize Java's syntax, including variables, data types, and operators.
Navigate control flow using conditional statements and loops.
Implement functions to modularize your code and enhance reusability.
Work with arrays and strings to manipulate data efficiently.
Grasp object-oriented programming principles such as inheritance and interfaces.
Create and manage classes to organize and structure your code effectively.
Whether you aspire to pursue a career in software development, enhance your programming skills, or simply gain a deeper understanding of Java, this masterclass provides the perfect foundation. Join us on this transformative journey and unlock your potential as a Java programmer today!
Description
Are you trying to get a thorough understanding of WordPress? Looking for enough resources to learn WordPress from a basic to an advanced level? You'll find an A to Z guide to learning WordPress at Jenius
The present age is the digital age. People of this age group do not believe in traditional jobs. Instead, they are leaving traditional jobs and looking for indirect income. Nowadays, many people are looking for alternative sources of income apart from jobs due to the additional income. And for those who want to acquire some skills along with the job and use their talent in the right place, learning WordPress is a good medium. But what is WordPress? Why learns WordPress? Where can I find answers to such questions? Stay with me till the end to know and learn about WordPress Basic to Advanced Guide.
What is WordPress?
WordPress is a popular content management system (CMS) that powers over 40% of all websites on the internet. WordPress is a user-friendly and versatile platform that allows users to create, customize, and manage their own WordPress websites without needing advanced technical skills. If you're interested in learning how to use WordPress, there are many resources available to help you get started.
Why learns WordPress?
* WordPress is an open source platform.
* WordPress maintains flexibility.
* SEO optimization is easy on WordPress websites.
* Easy to create a website by installing WordPress plugins.
* Easy to customize WordPress website.
* Easy to add required features to WordPress by installing plugins.
* WordPress supports different types of multimedia on website.
* WordPress supports more than 100 languages.
* Amazing career opportunities through WordPress.
How to learn WordPress and create dynamic websites?
* Buy a domain name to build or learn WordPress websites.
* Buy web hosting to build a WordPress website.
* Install WordPress.
* Select the WordPress theme
* Customize the WordPress website
* Create your page and your post on WordPress website
* Use WordPress plugins
Where can I find answers to such questions about WordPress?
This is Delta, I've been building WordPress websites for a few years. Just like you, there was a time when I was a complete newbie! I was honestly scared to start a WordPress website because it seemed so intimidating. Now I am mature enough. All your questions about WordPress will be answered in my course and even if you ask me personally, you will get the answer about WordPress in details.
Jenius WordPress course Summary:
This WordPress learning course is designed to teach you how to use the WordPress platform, from basic features to advanced techniques. Whether you're a complete beginner or an experienced WordPress user, there is always something new to learn about WordPress. In this WordPress Course, we'll cover some of the key topics that you can expect to learn in a typical WordPress course.
What Will I Learn from aWordPress Course?
* How to edit menus and pages
* How to use the WordPress customizer
* How do I install a plugin on WordPress?
* Details about WordPress theme
* How to install WordPress
* Publish your WordPress Website
* How to Trace Traffic on WordPress
* How to use Elementor on WordPress
Introduction to WordPress Course:
The WordPress course will start with an introduction to WordPress, including WordPress history and WordPress key features. You'll learn about the different types of websites that can be built with WordPress, such as blogs, business sites, and e-commerce sites. You'll also learn about the differences between WordPress, and how to choose the right option for your needs.
Getting Started with WordPress
Once you have a basic understanding of WordPress, the WordPress course will teach you how to get started with the platform. You'll learn how to install WordPress on your own hosting account or on a third-party hosting provider. You'll also learn how to set up your WordPress website's basic settings, such as your site title and tagline, and how to create your first post or page on your WordPress website.
Customizing Your WordPress Site:
One of the biggest advantages of WordPress is its flexibility and customization options. The course will teach you how to customize your WordPress site to make it look and function the way you want. You'll learn how to choose and install a WordPress theme, which is a pre-designed template that determines the look and feel of your WordPress site. You'll also learn how to customize your WordPress theme by changing the colors, fonts, and layout
In addition to themes, you'll also learn about plugins, which are add-ons that can extend the functionality of your WordPress site. You'll learn how to choose and install plugins, such as contact forms, social media sharing buttons, and SEO tools.
Creating Content with WordPress
One of the primary purposes of WordPress is to create and publish content. The course will teach you how to create different types of content in WordPress, including posts, pages, and media files. You'll learn how to add text, images, videos, and other types of content to your site. You'll also learn how to format your content, add links, and use categories and tags to organize your content.
Optimizing Your WordPress Site for SEO
Search engine optimization (SEO) is the process of optimizing your website so that it appears higher in search engine results pages (SERPs). The course will teach you how to optimize your WordPress site for SEO by using techniques such as keyword research, optimizing your content, and using SEO plugins.
Managing Your WordPress Site
Once your WordPress site is up and running, you'll need to manage it to ensure that it runs smoothly and stays secure. The course will teach you how to manage your site, including how to update WordPress, themes, and plugins. You'll also learn about site backups, security measures, and how to troubleshoot common problems.
Advanced WordPress Techniques
Finally, the course will cover some advanced WordPress techniques for experienced users who want to take their site to the next level. You'll learn about customizing WordPress themes and WordPress plugins using code, creating custom post types and taxonomies, and integrating your site with third-party services.
Conclusion
In conclusion, This WordPress learning course is a great way to learn how to use this popular platform. Whether you're building a personal blog or a business website, WordPress offers the flexibility and customization options you need to create a site that stands out. By
Description
Understanding what quantum computing is is definitely not an easy task. Indeed, since this is a new science there is a few places where you can find a quality introduction course about this topic. Indeed, usually all the course are either to advanced or simply does not cover properly the topic of quantum computing. But, this course is designed to give you all the basic knowledge about the topic. If you :
- Are a student and want to learn about new technologies
- Are interested about this topic but don't know were to find good resources about it
- Want to know how to work with different tools used for quantum computing
- Simply curious about the topic and you want to learn more about it
Then this course is definitely for you and you will love it. Not only you will learn different theoretical concepts that are really useful in quantum computing but you will also use different tools to practice everything that you have learned. Finally, you will not only have an introduction to the topic but also to Microsoft Q the programming language used for quantum computing.
The structure of the course
The way this course is designed will help learn all the concepts that you need to be able to understand the basics of Quantum Computing. Indeed, you will at first learn all the basics of mathematics especially linear algebra. Once again, you will not become a specialist in this field but you will at least understand the basic concepts of it that can be useful for your understanding of quantum computing. Then, you will learn what exactly is an algorithm and what is the difference between a quantum algorithm and a classical mathematical algorithm. Also, we are going to cover different quantum algorithms that are also really popular in this field. Finally, you will have an introduction to Microsoft Q. In my opinion this is pretty important to learn because this is the programming language that is used to perform different quantum calculations as well as testing or running different quantum apps.
Also, it's really important to understand that I created this course on the Principe of learning by practice. This is why even if this course is mostly theoretical, I tried to implement as much practice as possible. This way, when you will have completed this course you will not only be able to understand the basics of what is quantum computing but you will also be able to write basic lines of code and have a basic understanding of different quantum algorithms.
For who is this course designed
This course is created for beginners who have no prior knowledge of what is quantum computing and are interested by the topic. Indeed, you don't need to be an expert in any field to take this course, everything that is presented in this course is done very simply to help you understand from scratch everything you need to know about this topic. You will be introduced to different quantum algorithms as well as different mathematical notions that will allow to understand a bit more about this topic. So, if you are a student that wishes to learn more about this topic for educational or professional purposes you will definitely enjoy this course. Also, if you are just someone that find this topic interesting and you want to have a basic introduction to it well this course has everything you need. Not only you will understand Quantum computing in a theoretical way but you will also learn to use it in a more practical way.
Why should I take this course
The main reason is that you will be able to understand what exactly is quantum computing and all the concepts linked to it. In other words, you will learn different concepts as well different element that are pretty useful in quantum computing if you want to get more advanced in this field. Also, the course is well structured and made simple this means that you don't necessary need advanced knowledge in many fields to understand it. So, if you are passionate about quantum computing and want to learn more don't wait anymore and join the course.
There is no risk involved in taking this course
This course comes with a 100% satisfaction guarantee, this means that if your are not happy with what you have learned, you have 30 days to get a complete refund with no questions asked. Also, if there is any concept that you find complicated or you are just not able to understand, you can directly contact me and it will be my pleasure to support you in your learning.
This means that you can either learn amazing skills that can be very useful in your professional or everyday life or you can simply try the course and if you don't like it for any reason ask for a refund.
You can't lose with this type of offer !!
ENROLL NOW and start learning today :)
Business
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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
Welcome to "The Complete Mobile Notary Business Course" — your gateway to a lucrative and fulfilling career in the dynamic world of notary signing services. Whether you're a newcomer eager to enter the field or a seasoned professional seeking to enhance your skills, this comprehensive course is tailored for you.
Unlock Opportunities: Embark on a journey that demystifies the process of becoming a commissioned notary in your state. From understanding legal requirements to mastering the art of mobile loan signing and real estate services, this course equips you with the knowledge needed to excel in the notary signing agent profession.
Master Loan Closing Skills: Delve into the intricacies of loan closing paperwork, gaining proficiency in handling various aspects of home loan documentation. Elevate your expertise in mortgage processes, positioning yourself as a knowledgeable and efficient notary signing agent.
Certification Excellence: Prepare for success with insights into the National Notary Association (NNA) test and industry-recognized background screening essentials. Develop a strong foundation in the best practices and standards of the notary signing agent profession.
Launch Your Notary Business: Identify essential tools, acquire necessary supplies, and understand the importance of errors and omissions insurance. Learn effective networking strategies to kickstart and grow your own notary signing agent business, setting the stage for financial prosperity and career fulfillment.
With a blend of practical skills, industry knowledge, and business acumen, "The Complete Mobile Notary Business Course" empowers you to confidently navigate the world of notary services. Join us now and unlock the door to a flexible, rewarding, and high-earning career as a mobile notary entrepreneur. Enroll today and take the first step toward a successful future!
Marketing
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Description
You're looking for a complete course that will teach you how to calculate customer value to drive business decisions involving product pricing, acquisition cost, marketing cost, and many other parts of the business., right?
You've found the right course Customer Valuation for Entrepreneurs and Marketers! This course teaches you everything you need to know about different methods to find customer lifetime value and how to find it in Excel using advanced excel tool.
After completing this course you will be able to:
Understand the value of your customers to make intelligent decisions on how to spend money acquiring them
Learn how to measure customer value based on the customer value concept
Use Monte-Carlo simulation to incorporate uncertainty in customer value models
Confidently practice, discuss and understand Customer value models used by organizations
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Customer Valuation for Entrepreneurs and Marketers course.
If you are a business manager or an executive, or a student who wants to learn, calculate and apply customer value in real world problems of business, this course will give you a solid base for that by teaching you the most popular Customer lifetime value models and how to implement it.
Why should you choose this course?
We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:
Theoretical concepts and use cases of different Customer value models
Step-by-step instructions on implement such models in excel
Downloadable Excel file containing data and solutions used in each lecture
Class notes and assignments to revise and practice the concepts
The practical classes where we create the model is something which differentiates this course from any other course available online.
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 Analytics and we have used our experience to include the practical aspects of Marketing and data analytics in this course
We are also the creators of some of the most popular online courses - with over 170,000 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?
Understand the value of your customers to make intelligent decisions on how to spend money acquiring them. In this course, we will explore how one can use excel for finding Customer value to
Find lifetime customer value
Take data driven decision on deciding acquisition cost, retention efforts etc
Let me give you a brief overview of the course
Section 1 - Introduction
In this section we will learn about the course structure
Section 2 - Lifetime Customer Value
In this section, we will discuss about the basic of concepts of Customer Lifetime value.
Section 3 - Variations and Sensitivity Analysis
In this section you will learn how to create excel model to find lifetime customer value and perform sensitivity analysis to capture variations in lifetime value under different scenarios.
Section 4 - Monte Carlo Simulation
This section we will learn the basics and use-cases of Monte Carlo Simulation. We will also use Monte Carlo simulation to find customer value in uncertain scenarios.
Some of the examples in this course are from the book Marketing Analytics: Data-Driven Techniques with Microsoft Excel [Winston, Wayne L.]. We suggest this book as reading material for anyone aspiring to be a marketing analyst.
I am pretty confident that the course will give you the necessary knowledge and skills to immediately see practical benefits in your work place.
Go ahead and click the enroll button, and I'll see you in lesson 1
Cheers
Start-Tech Academy
Description
Marketing is a fundamental part of every business. Businesses across every industry depend on marketing professionals to create brand awareness and increase sales of their products or services. The objective of this course is to familiarize you with the basic concepts and principles of marketing and to develop your conceptual and analytical skills to be able to manage marketing operations of a business firm. After finishing this course, you will be aware about key fundamental aspects of marketing management. This course consists of five sections namely; introduction, consumer behavior, promotional strategies, pricing & positioning and product development & differentiation and explores all the dimensions to develop a more rounded understanding of marketing management. This course is an attempt to help academicians, students, research scholars and marketing professionals to understand the concepts of marketing management in a systematic manner. If you are a student of BBA/MBA course or pursuing research in marketing domain, this course will provide you deep insight into the fundamentals of marketing management. So what are you waiting for, just click on the enroll button and learn fundamentals of marketing management. You will surely have a great learning experience. I am eagerly waiting to see you all in the course.
IT & Software
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Description
Complete Windows 11 with Microsoft Copilot Masterclass: Learn Windows 11 - Computer Basics - Computer Essentials - OneDrive - Security - Upgrade to Windows 11 - Microsoft Copilot
Windows 11 has easy-to-use tools that can help you optimize your screen space and maximize your productivity. Nowadays, it is the easiest Operating system to learn and upgrade. You only need to click or tap to do your work in Windows 11. There is a new design of start-menu, a new app store, windows, lock-screen, and new revolutionary settings.
The easier the operating system is the more productivity you will have. You can 10x your work speed with Windows 11. There are no complicated options anymore.
If you want a new clean, beautiful, and productive operating system, Windows 11 is a great one. Give it a try. In this class, we will teach you everything we know about Windows 11 will 10x life. I have been experiencing Windows XP, Vista, Seven, Eight, 10. Between these, I have a good feeling about Seven than 10. But now I have more good feelings about Windows 11. A revolutionary operating system.
By taking this The Complete Windows 11 Masterclass you will be able to:
Explore the Windows 11 Reinventions Interface
Upgrade to Windows 11
Manage Windows 11
Change Icons
Manage folders and icons settings
Manage Display settings in Windows 11
Personalize your Windows 11
Personalize your taskbar
Learn about Windows 11
Sign in and manage your Microsoft Accounts in Windows 11
Install apps from anywhere in Windows and manage them
Manage notification and focus settings
Take control of battery and power
Clean up your storage
Muli task
Recover and rest Windows 11
Troubleshoot Windows 11
Manage apps and features
Improve accessibility
Enable more time and more language
Keep privacy and security of Windows
Run Windows update
Clipboard
Manage OneDrive
Maintenance your Windows
Create and keep all secure
Microsoft Copilot – your copilot for work *Full training
Don't hesitate any longer - join us now and start having new experiences with The Comprehensive Windows 11 Masterclass today!
This Windows 11 course is ideal for anyone searching for more info on the following: windows 11 - windows - window 11 - operating system - Microsoft 98-349. Plus, this course will be a great addition to anyone trying to build out their knowledge in the following areas: Microsoft Intune - Endpoint Management - Microsoft Endpoint Configuration Manager / SCCM - OpenSSH - Microsoft Windows.
Description
Python For Beginners Course In-Depth
This course serves as a comprehensive introduction to fundamental Python programming concepts, offering a journey from beginner to advanced levels. With meticulously crafted content, you'll find it easy to follow and absorb, ensuring a solid understanding of Python.
Starting from the basics, we cover essential Python fundamentals, programming techniques, and user interaction. The curriculum emphasizes hands-on learning, guiding you through becoming a proficient Python developer.
We begin by laying a strong foundation in Python basics and programming fundamentals. As you progress, we explore advanced topics and diverse career fields within Python, providing real-life practice to prepare you for the professional world.
Topics covered include:
Array implementation
File methods
Keywords and Identifiers
Python Tuples
Python Basics
Python Fundamentals
Mathematical Functions
Data Structures
Object-Oriented Programming with Python
Functional Programming with Python
Lambdas
Decorators
Generators
Testing in Python
Debugging
Error Handling
Regular Expressions
Comprehensions
Modules
Each concept is explained thoroughly, ensuring clarity and understanding. You'll gain practical experience and confidence in utilizing Python for various applications.
Join us on this educational journey, and unlock the full potential of Python programming. Whether you're a novice or seeking to enhance your skills, this course caters to all levels of expertise.
Enroll now and embark on a rewarding learning experience.
See you inside the course!
If you find the coupon expired, please follow us on Telegram to watch for it if released again.
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