Introduction to Regression and Data Science

This course introduces data analysis through statistical computing in R, least-squares and logistic regression, model selection, and data visualization.

Teaching team and office hours
Instructor Dr. Lucy D’Agostino McGowan     Thursday 10:00a-11:00a Manchester 342
TA

Shawn Lang

Thursday 9pm-10pm; Saturday 10a-11a

Manchester 389
Math & Stats Center   By appointment Kirby Hall 117


Manchester 124


Section B
Tues/Thurs 12:30p-1:45p


Section C
Tues/Thurs 2:00p-3:15p

Texts

The main text book is: Stat 2: Building Models for a World of Data by Cannon, Cobb, Hartlaub, Legler, Lock, Moore, Rossman, Witmer. Please feel free to purchase a used copy of this book. We will supplement this with text freely available online: R for Data Science by Grolemund, Wickham OpenIntro Statistics by Diez, Barr, Çetinkaya-Rundel.

Materials

This class is very hands on; be sure to bring a fully charged laptop to every class.