Welcome to STATS 6 - Introduction to Data Science in Fall 2025
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.
Typical Weekly Workflow
- Monday 09:25 am | Previous week's homework due
- Monday 9:30 - 10:50 am | Lecture
- Tuesday 10:30 - 11:30 am | Rasul holds office hours
- Wednesday 9:30 - 10:50 am | Lecture
- Wednesday 2:30 - 3:30 pm | Dr. Dogucu holds office hours
- Thursday 10:30 - 11:30 am | Rasul holds office hours
- Friday 2:30 - 3:30 pm | Rasul holds office hours
- Friday 3:30 - 5:30 pm | Collaboration hours with your peers
Midterm exam on Oct 29th at 9:30 - 10:50 am in class
Project proposal due Nov 5th at 5:00 pm online
Project submission due Dec 10 at 7:30 am online
Project peer evaluation on Dec 10 at 8:00 - 10:00 am online