The syllabus to my Spring 2024 class for DATA 333 can be downloaded here.
Overview. DATA 333 is part of a larger curriculum on the field of data analysis, the task of gathering and analyzing data to create insights. This particular course examines the practical process of creating these insights, from project conception to audience communications. Topics include gathering and storing data, making data usable, the general insights that can be gleaned from data and the practicalities of doing so, and the task of communicating the knowledge that you create to users. We will discuss data wrangling, visualization, statistical analysis, regression modeling, classification, and dimensionality reduction. This hands-on course develops these skills using R, the world’s leading statistical analytical platform.
This semester, DATA 333 will introduce these topics through its application to tasks of evaluation, analysis, and prediction in baseball. The course will not require readings on baseball, but will use the sport as a vehicle to impart class concepts.
Schedule. Wednesdays from 1:30 – 4:30 PM at PH 115