PSTAT 100 - Data Science: Concepts and Analysis Instructor: Ethan P. Marzban (He/Him) Quarter: Summer Session A, 2025 Course Description: Overview of data science key concepts and the use of tools for data retrieval, analysis, visualization, and reproducible research. Topics include an introduction to inference and prediction, principles of measurement, missing data, and notions of causality, statistical “traps”, and concepts in data ethics and privacy. Case studies will illustrate the importance of domain knowledge. Credit units: 4.

Welcome to PSTAT 100! This is the official course page for the Summer Session A, 2025 iteration of the course - the Spring 2024 iteration has been moved to ucsb-pstat100-archives.github.io.

Lecture slides can be found on the Schedule; labs and project datasets can be found on our Course Computing Server, a link to which can be found on our course Canvas page. Please note, for security purposes, we can only share the link to the server with students who are currently enrolled in the course.

Important Course Assessments/Deadlines

• Homework 1 Week 1 | Sunday, June 29, 2025
• In-Class Assessment 1 Week 2 | Thursday, July 3, 2025
• Mid-Quarter Project Week 3 | Sunday, July 13, 2025
• Homework 2 Week 4 | Sunday, July 20, 2025
• In-Class Assessment 2 Week 5 | Thursday, July 24, 2025
• Final Project Week 6 | Friday, August 8, 2025

Important

In addition to the above deadlines, there will be two labs every week which you will be asked to turn in. These labs are designed to be completed during our scheduled Discussion Section periods.