Welcome to STATS 6 - Introduction to Data Science in Spring 2026
This course introduces the full data cycle. Topics include data collection and retrieval, data cleaning, exploratory analysis and visualization, introduction to statistical modeling and inference, and communicating findings. Applications include real data from wide-range of fields following reproducible practices.
Prerequisite: None
By the end of this course you will be able to:
- explore data using descriptive statistics and visualizations;
- read, write, and tidy up datasets;
- make predictions and conclusions using models;
- consider impact of decisions related to data on humans, other livings, and the planet;
- write human- and machine-readable code using R.
Midterm exam on Apr 29th at 11:00 am - 12:20 pm in class
Project proposal due May 8 at 5 pm online
Project submission due Tue, Jun 9 at 1:00 PM online
Project peer evaluation on Tue, Jun 9, 1:30-3:30pm online