Data Science

The “Artificial Intelligence” chapter is designed to introduce students to the basic principles of AI and provide guidelines for using AI responsibly.

At zyBooks, we recognize the value of real-world applications in fostering a deeper understanding of complex concepts. Our case studies serve as a bridge between theoretical knowledge and practical application.

Having a thorough understanding of math is crucial to student success in data science courses. See how zyBooks can support your students’ needs.

These best practices are invaluable in helping students master data science – best practices you can put into action in your own classroom right away.

These best practices are invaluable in helping students master data science – best practices you can put into action in your own classroom right away.

These best practices are invaluable in helping students master data science – best practices you can put into action in your own classroom right away.

These best practices are invaluable in helping students master data science – best practices you can put into action in your own classroom right away.

Simply put, learning R is hard. In this guide, I’ll share six steps to helping your students get comfortable with this important programming language.

A question we hear from instructors is, how do you choose the right language for your data science courses?