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

This is an online-based course that will be delivered asynchonously via pre-recorded lectures available on Sakai, with live lecture sessions and labs delivered and recorded via Zoom at the times below. For important administrative details, consult the course policies.

All times listed are in US Eastern Time Zone.

Lectures

Section 001      T/Th 1:45 - 3:00 PM      See Sakai for Zoom links

Labs

Lab 01 (Pierre)      F 10:15 - 11:30 AM      See Sakai for Zoom

Lab 02 (Phuc)      F 1:45 - 3:00 PM      See Sakai for Zoom

Lab 03 (Pierre)      F 8:30 - 9:45 AM      See Sakai for Zoom



Teaching team and office hours

Instructor Yue Jiang F 9:00 - 11:00 AM See Sakai for Zoom
Teaching Assistant Calleigh Smith T 11:30AM - 1:30 PM See Sakai for Zoom
Teaching Assistant Mariana Izon T 5:00 - 7:00 PM See Sakai for Zoom
Teaching Assistant Phuc Nguyen Th 3:30 - 5:30 PM See Sakai for Zoom
Teaching Assistant Pierre Gardan M 8:00 - 10:00 AM See Sakai for Zoom
Teaching Assistant Steven Herrera W 1:30 - 3:30 PM See Sakai for Zoom

Additional instructor office hours are available by appointment.