Digital Analytics

The course aims to develop students’ knowledge, understanding, skills, and critical attitudes in the area of digital analytics for communication science and practice. Through hands-on tutorials and practical exercises, students will learn to collect, process, analyze, and visualize digital data using Python programming. Topics covered include Python fundamentals, data manipulation with Pandas, data understanding and privacy, advanced data analysis techniques, A/B testing and experimentation, big data and trace data collection, and large language models.

SOC 302B: Introduction to Education Data Science: Data Analysis

An introductory course on applying data science methods and analytical techniques to educational research and policy questions.

EDUC 200A: Introduction to Data Analysis and Interpretation

An introductory course covering fundamental concepts and techniques for analyzing and interpreting educational data.