Leverage your knowledge of PowerShell to quickly learn Python programming through familiar concepts.

Data Science is the future and one of . the Stepping Stones is R Programming

Understand the principles of test-driven development (TDD) using Go, emphasizing the importance of testing in the development process.

This course teaches programming fundamentals using the Ruby language. It uses an example-based approach and aims to teach coding by building a Hangman game.

Contribute to the "Legit Info" open-source project for racial justice. Learn how to use your technical skills to combat misinformation and promote equity, while working on projects that use data science, machine learning, and technology to address social issues.

Quickly learn and master ES6 features in JavaScript, focusing on practical applications and improvements over previous versions.

Parallelism is an amazing feature brought by the Stream API in Java 8. In this course, you will learn how parallel streams are working under the hood, how to use them to improve the performances of your applications, and when to avoid them.

Learn about linear algebra and how to perform operations with matrices and vectors.

Understand the key linear algebra concepts required for data science and implement them using Python.

Learn about virtualization of computer memory by building the fundamental data structures of computer science: lists, stacks, and queues.

Learn how to fit, interpret, and compare linear regression models in Python.

Linux bash shell scripting including Awk, Sed and more than 10 projects.