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 information

All times listed are in US Eastern Time Zone.

Zoom links and email addresses are available on Sakai.

Lectures
Section 1 (Reuben-Cooke 130) 10:15 to 11:30 AM TR Jacob Smith
Section 2 (French Science 2231 3:30 PM to 4:45 PM TR Jacob Smith

Labs
Monday (01L) in Reuben-Cooke 126 10:15 AM - 11:45 AM
Monday (02L) in Social Sciences 311 12:00 PM - 1:15 PM
Monday (03L) in Link 087 1:45 PM - 3:30 PM
Monday (04L) in Link 087 10:15 AM - 11:45 AM
Monday (05L) in Reuben-Cooke 129 12:00 PM - 1:15 PM
Monday (06L) in Link 071 1:45 PM - 3:30 PM

Teaching team and office hours

Professor Office Hours

I will hold office hours on Zoom on Tuesdays from Noon to 1 and Thursdays from 2 PM to 3 PM on Zoom. Students interested in meeting on Zoom should sign up at https://calendly.com/jacobfhsmith. Appointments are 15 minutes and students may sign up for up to two slots per day. Students are welcome to sign up in groups if they have a similar question or if it is a group assignment.

TA Office Hours- Starting January 6- This only includes Prof. Smith's section; TA's from Prof. Fisher's section can be found on Google Doc
Monday Jacob Miller 10:30 AM to 12:30 PM
Jasmine Wen 10 AM to 11 AM
Blossom Mojekwu 1 PM to 2 PM
Emre Yurtbay 2-4 PM
Larry Chen 2-3 PM
Tuesday Alison Reynolds 12 PM to 2 PM
Larry Chen 2 PM to 3 PM
Zoey Liu 3-5 PM
Wednesday Kevin Li 10 AM to 12 PM
Jasmine Wen 11 AM to 12 PM
Blossom Mojekwu 1 PM to 2 PM
Sarah Lemus 3 PM to 5 PM
Kartik Chamarti 5 PM to 6 PM
Thursday Eli Feder 1 PM to 3 PM
Aidan Gildea 2 PM to 4 PM
Kartik Chamarti 5 PM to 6 PM
Friday Nathan Varberg 9 AM to 11 AM
Carson Garcia 11 AM to 1 PM
Carly Grossfield 12 PM to 2 PM
Gaurav Sirdeshmukh 2 PM to 4 PM
Amber Potter 5 PM to 7 PM

Additional instructor office hours are available by appointment.

Textbooks

All texts are available for free online.
R for Data Science Grolemund, Wickham O'Reilly, 1st edition, 2016
Introduction for Modern Statistics Diez, Barr, Çetinkaya-Rundel OpenIntroInc., 1st Edition, 2021