Courses

This course is designed for anyone curious about AI, whether you are a student, professional, entrepreneur, or enthusiast. Our goal is to tell the complete story of AI, from its beginnings to today, in a clear, engaging, and comprehensive manner.

This course brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this course will lay the foundation for you to begin your journey learning data science.

All software design is composition: the act of breaking complex problems down into smaller problems and composing those solutions. Most developers have a limited understanding of compositional techniques. It's time for that to change.

Unlock the power of blockchain! Master the skills to build your own secure, scalable blockchain from scratch with our step-by-step, hands-on developer course. Start your journey today!

Want to turn your React code into shareable, installable NPM packages? This hands-on course will guide you through creating, testing, and publishing your own React libraries. It includes exercises and quizzes to help you master every step of the process. Build it. Test it. Ship it. Your journey to becoming a React package pro starts here.

This hands-on course will focus on introducing the features of IntelliJ IDEA that you should be using every day as a developer. Whatever your experience with IntelliJ IDEA, you will learn how to work with the IDE in the most efficient and productive way.

In this course, we'll look at how IntelliJ IDEA helps you to write and read code, because this is a large part of what you do every day as a developer. The course will also introduce some related topics like running and testing.

WARNING: This course contains a few bad puns, some awkward clichés and many mixed metaphors.It is intended to drive the fear out of medical statistics and drive out the fear of medical statistics.The course content is much easier to understand than this warning.

 Create structured data in a human readable data format

This course was primarily designed for Chemistry, Biology, Physics, Life Sciences, or Psychology students and researchers, who have no programming background, but would like to take their first steps in creating tools to help with data analysis and their research in general.