Welcome to the public repository for "Teaching Introductory Data Science with TBL" The files here are meant to provide a starting point for others to teach data science using Team-Based Learning. We are using the Open Science Framework (OSF) rather than GitHub because many of the files are Word documents handed out in class to students on actual pieces of paper. Some of the files are R Markdown files (.Rmd) or the .html knitted renderings of the .Rmd files. The files are organized as follows: 1. Overview/Schedule/Class Notes 2. Readings 3. Team Application Exercises (in-class tAPPs) 4. Lab Assignments 5. Additional files for in-class activities 6. Data and code for case study in JSDSE These files are from the latest iteration of the course taught by Dr. Eric Vance in Fall 2019 in the Department of Applied Mathematics at the University of Colorado Boulder. The Teaching Assistants who taught the Tuesday lab recitations were Dr. Ashton Wiens and Nicholas Varberg. The basic structure of the 15-week semester-long course was: Mondays, Wednesdays, and Fridays "Lecture"\ Tuesday Lab Sections\ Friday lab assignment is due The schedule for iRATs and tRATs is:\ Module 0: Sep 4\ Module 1: Sep 9\ Module 2: Sep 23\ Module 3: Oct 7\ Module 4: Oct 28\ Module 5: Nov 11\ Module 6: Dec 2 Lab Assignments are due by 5:00PM Fridays on OSF:\ Lab 2: Sep 6\ Lab 3: Sep 13\ Lab 4: Sep 20\ Lab 5: Sep 27\ Lab 6: Oct 4\ Lab 7: Oct 11\ Lab 8: Oct 18\ Lab 9: Oct 25\ Lab 10: Nov 1\ Lab 11: Nov 8\ Lab 12: Nov 15\ Lab 13: Nov 22\ Thanksgiving Week\ Lab 14: Dec 6\ Lab 15 (Final Project): Dec 16 by 5:00PM