ECE 225AProbability and Statistics for Data Science
The course reinforces students’ intuitive, theoretical, and computational understanding of probability and statistics, and builds on these foundations to introduce more advanced concepts useful in both data science research and practice. The following topics will be covered: basics, convergence, estimation, and hypothesis testing. Python programs, examples, and visualizations will be used throughout the course.