Full course description
Combining data, computation, and inferential thinking, data science is redefining how people and organizations solve challenging problems and understand their world. In this course, we explore key areas of data science including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision making. Through a strong emphasis on data centric computing, quantitative critical thinking, and exploratory data analysis, this class covers key principles and techniques of data science. Students will be able to identify the mathematical foundations of data analytics, data analysis algorithms, and tools.
Synchronized over Zoom and Canvas on Wednesdays, September 24 to December 3, 2025
No class on November 26