Overview
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, all in a reproducible and shareable manner. Gain experience in data wrangling and visualization, exploratory data analysis, predictive modeling, and effective communication of 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. No statistical or computing background is necessary. Not open to students who have taken a 100-level Statistical Science course, Statistical Science 210, or a Statistical Science course numbered 300 or above.
Meetings
| Meeting | Location | Time | Instructor / TAs |
|---|---|---|---|
| Lecture | Biological Sciences 111 | Mon & Wed 1:25 - 2:40 pm | Dr. Mine Çetinkaya-Rundel |
| Lab 01 | Perkins LINK 087 (Classroom 3) | Thur 8:30 - 9:45 am | Kenna Roberts (leader); Anric Ngan (helper) |
| Lab 02 | Perkins LINK 087 (Classroom 3) | Thur 10:05 - 11:20 am | Kenna Roberts (leader); Hellen Han (helper) |
| Lab 03 | Old Chemistry 001 | Thur 10:05 - 11:20 am | Helen Chen (leader); Oliver Gao (helper) |
| Lab 04 | Perkins LINK 087 (Classroom 3) | Thur 11:45 am - 1:00 pm | Juan Pablo Lopez Escamilla (leader); Sophie Schwartz (helper) |
| Lab 05 | Perkins LINK 071 (Classroom 5) | Thur 11:45 am - 1:00 pm | Josh Lim (leader); Chelsea Nguyen (helper) |
| Lab 06 | Perkins LINK 087 (Classroom 3) | Thur 1:25 - 2:40 pm | Cael Elmore (leader); Allison Yang (helper) |
| Lab 07 | Perkins LINK 071 (Classroom 5) | Thur 1:25 - 2:40 pm | Josh Lim (leader); Yasmine Abdel-Rahman (helper) |
| Lab 08 | Perkins LINK 087 (Classroom 3) | Thur 3:05 - 4:20 pm | Hyunjin Lee (leader); Tally Coulter (helper) |
| Lab 09 | Perkins LINK 071 (Classroom 5) | Thur 3:05 - 4:20 pm | Carl Emerson (leader); Robbie Hao (helper) |
| Lab 10 | Perkins LINK 087 (Classroom 3) | Thur 4:40 - 5:55 pm | Robbie Hao (leader); Max Niu (helper) |