Data Science

AI as Your Teaching Assisstant Course development has always been one of the most time-intensive aspects of teaching. GenAI tools can help instructors develop and improve their courses more efficiently, allowing more time to focus on teaching and research. For educators juggling course preparation, research responsibilities, and student support, AI can serve as a valuable […]

A. Schwab-McCoy 2025

Moving Beyond “Yes” or “No” to GenAI When ChatGPT was first introduced in 2022, instructors often took one of two approaches to GenAI in their classes: yes or no. While bans on GenAI may be appropriate in certain courses, such bans are difficult for instructors to enforce. As GenAI tools have become more advanced and […]

Helping students understand when AI use is appropriate in their courses will equip them to use AI responsibly after the semester ends.

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?