STA 199: Intro to Data Science

Intro to data science and statistical thinking. Learn to explore, visualize, and analyze data to understand natural phenomena, investigate patterns, model outcomes, and make predictions, and do so in a reproducible and shareable manner. Gain experience in data wrangling and munging, exploratory data analysis, predictive modeling, data visualization, and effectively communicating results. Work on problems and case studies inspired by and based on real-world questions and data. The course will focus on the R statistical computing language.


Course info

Lectures

Section 002      Soc Sci 136      Mon and Wed 3:05p - 4:20p

Labs

Lab 04      Old Chemistry 003      Thur 1:25p - 2:40p

Lab 05      Old Chemistry 003      Thur 3:05p - 4:20p

Lab 06      Old Chemistry 003      Thur 4:40p - 5:55p

Teaching team and office hours

Updated and Effective March 23, 2020: Due to the global coronavirus pandemic, all in-person scheduled meetings and office hours will be switched to Zoom meetings. See Sakai for more details and updated schedule. All times listed are US Eastern Time.

Instructor Yue Jiang   M/W 4:30 - 5:30p Old Chem 207
TAs Meredith Brown   M 1 - 3p Old Chem 203B
Morris Greenberg   T 3 - 5p Old Chem 025
Steven Herrera   M 5:30 - 7:30p Old Chem 203B
Malavi Ravindran   Th 9 - 11a Old Chem 203B
Becky Tang   M 4:30 - 5:30p, W 3:30-4:30p Old Chem 203B
Michael Valancius   M 9 - 11a Old Chem 203B

Texts

All texts are freely available online. Hardcopies are also available for purchase.
R for Data Science Grolemund, Wickham O'Reilly, 1st edition, 2016
OpenIntro Statistics Diez, Barr, Çetinkaya-Rundel CreateSpace, 4th Edition, 2019

Materials

You should bring a fully-charged laptop, tablet with keyboard, or comparable device to every lecture and lab session.