Visualization is one of the most common ways of representing data. By using different kinds of plots (like scatter-plot, histogram, bar charts, and so on) you can find some insights in your data, or approve/reject some assumption/hypothesis. In this course, you will be introduced to the matplotlib library, and learn how to build different charts.

Data Analysis with Excel provides a practical guide to mastering the most essential data management, manipulation, and analysis techniques using Microsoft Excel. You'll gain proficiency in Excel's powerful capabilities, progressing through data analysis methods, and creating dynamic visualizations and interactive dashboards. By the end, you'll learn to automate reporting and apply advanced analytics, equipping you to make informed, data-driven decisions efficiently.

Get ready to build an awesome fighting game featuring cool animations and a big boss battle! Learn Unity's animation system to create smooth player movements and powerful attacks. Dive into enemy AI, shaping their behaviors from following to rage states. Improve your game with simple UI elements, cool effects, and sounds. Finally, share your game with others to play it.

Learn how to build applications using the Django ORM framework. This is the next step in expanding your knowledge of Django development.

Dive into the world of neural network development with an immersive program that blends foundational knowledge with advanced techniques. The course emphasizes hands-on learning, providing learners with the opportunity to apply these techniques. Additionally, you will face numerous data preprocessing tasks and real-world examples of neural network training, so stay prepared and motivated, as it will present a significant challenge for you.

This course is a comprehensive and practical online program designed to equip individuals with the knowledge and skills necessary to conduct effective A/B tests. In this course, participants will learn the fundamental principles of A/B testing, including experimental design, sample size determination, hypothesis testing, and statistical analysis.

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This course covers Object-Oriented Programming (OOP) in Python, starting with the basics and progressing to advanced concepts. You will implement a User model to gain practical experience and understanding of OOP features. By the end of the course, you will have a strong foundation in OOP and a deeper knowledge of Python's inner workings.

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Course for E2E testing

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