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The book can be used at either the advanced undergraduate or graduate levels, or for self-study. The book is ideal for a 16-week course, for instance one in a Fall or Spring semester, and may prove especially useful for programs that only have space or desire to feature a single data-analytic course for students. Instructors can use the book as a primary text or as a supplement to a more theoretical book that unpacks the concepts featured in this book. Exercises at the end of each chapter can be assigned weekly and can be discussed in class or reviewed by a teaching assistant in lab. The goal of the exercises should be to get students thinking critically and creatively, not simply getting the “right answer.”

It is hoped that you enjoy this book as a gentle introduction to the world of applied statistics using Python. Please feel free to contact me at daniel.denis@umontana.edu or email@datapsyc.com should you have any comments or corrections. For data files and errata, please visit www.datapsyc.com.

Daniel J. Denis

March, 2021