Welcome to STATS 6 - Introduction to Data Science in Fall 2023
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 10:00 - 11:00 am | Rasul's office hours.
- Monday 12:25 pm | Previous week's homework due
- Monday 12:30 - 1: 50 pm | Lecture
- Wednesday 12:30 - 1: 50 pm | Lecture
- Wednesday 3:00 pm - 4:00 pm | Dr. Dogucu's office hours
- Friday 1:30 - 2:30 pm | Rasul's office hours
Midterm exam on Nov 1, 2023 at 12:30 - 1:50 pm in class
Project proposal due Nov 8, 2023 at 11:59 pm online
Project submission due Dec 11th at 1:30 pm online
Project peer evaluation on Dec 11th at 1:30 - 3:30 pm online