Introduction to Statistics and Data Science

Authors

Elizabeth Tipton

Arend M Kuyper

Danielle Sass

Kaitlyn G. Fitzgerald

Adapted from ModernDive by

Chester Ismay and Albert Y. Kim

Published

2024-12-04

Welcome

This is the website for Introduction to Statistics and Data Science. This book starts you down the path of learning how to think with data using R. You’ll learn the basics of how to engage, explore, and examine many types of data arising from several contexts. Hopefully you’ll have fun and see how valuable it is to be able to critically think with data.

Warning

Please note that this is a “development version” of this book for the new design of STAT 202. Meaning this is a work in progress being edited and updated as we go.

We would appreciate any feedback on typos and errors.

This open textbook is produced with support from Northwestern University Libraries and The Alumnae of Northwestern University.

License

This website is (and will always be) free to use, and is licensed under the Creative Commons Zero v1.0 Universal License. If you’d like to give back, please consider reporting a typo or leaving a pull request at github.com/NUstat/intro-stat-data-sci.