Teach data science using an interactive, engaging platform with real-world tools and applications

Teach data science using Python, R, or without coding!

  • Data Science Foundations with Python teaches students how to use popular libraries for data science, including NumPy, pandas, matplotlib, seaborn, and scikit-learn
  • Data Science Foundations with R teaches the latest tidyverse tools for computing with R
  • Coding examples are integrated in Jupyter notebooks directly in the zyBook
  • Need help choosing? Check out Python or R for Data Science?
  • All versions include the same content and learning experience
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Teach using real-world tools and datasets

  • Jupyter notebooks embedded in the zyBook give students experience with professional coding tools
  • Examples come from real-world datasets in business, finance, medicine, pop culture, science, and technology
  • Real-world case studies model the data science lifecycle from end-to-end throughout the course
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Focus on concepts first, computing second

  • Conceptual ideas in data science are taught and reinforced first using our award-winning “Say-Show-Ask” pedagogy
  • Coding examples expand and explore applications of data science with real datasets
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Add your own Jupyter notebooks directly in the zyBook

  • Instructors can now add custom Jupyter notebooks directly in the zyBooks platform!
  • Use custom content to host assignments and projects, expand on existing content, or give additional detail
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Leverage zyBooks across the data science program

Take advantage of other zyBooks to expand and scale up your data science program, including:

  • Python Programming
  • Applied Statistics with Data Analytics
  • Introduction to Statistical Investigations
  • Machine Learning
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