This course teaches data-driven problem solving. Starting from installing a Python programming environment, students will learn reading data, producing graphs, hypothesis testing and Bayesian statistics with hands-on programming experience. The course is also a stepping stone to more advanced subjects, such as machine learning and AI. Although no prior programming experience is required, there is a substantial programming component to the course.
Prerequisite: STAT 1793 or STAT 2593 or STAT 2263 or BA 1605 or PSYC 2901 with a minimum grade of C |
