Welcome to STATS 6 - Introduction to Data Science in Winter 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 11:00 am - 12:00 pm | Catalina holds office hours online
• Tuesday 1:55 pm | Previous week's homework due
• Tuesday 2:00 - 3:20 pm | Lecture
• Tuesday 3:30 - 4:30 pm | Catalina holds office hours online and in person
• Thursday 2:00 - 3:20 pm | Lecture
• Thursday 3:30 - 4:30 pm | Dr. Dogucu holds office hours in person and online
• Friday 9:30 - 10:30 am | Catalina holds office hours in person and online

Midterm exam on Feb 6th at 2:00-3:20 pm in class

Project proposal due Feb 18th at 1:55 pm online

Project submission due Mar 20th at 1:00 pm online

Project peer evaluation on Mar 20th at 1:30 - 3:30 pm online