Statistical Computing for Data Analysis. 3 credits

Catalog description

This course provides students an introduction to important concepts of modern statistical computing and their applications in statistical data analyses. Students will be exposed to the prevalent programming languages for statistical computing and machine learning to understand the structure and key concepts of these languages. Emphasis is placed on loading and wrangling structured and unstructured data from various sources, conducting statistical simulations and resampling-based bias/variance reduction and inference, and applying basic machine learning methods. Tools and best practices for organizing data analyses and collaboration will be discussed. Offered by Statistics . May not be repeated for credit.