Courses

(Prereq. DSC 255R)

Building large-scale, working systems on real world data. Steps of the data science life-cycle. How to properly collect and clean data, build and test models. Topics include: Pandas, messy data, hypothesis and permutation testing, missingness and imputation, machine learning, model evaluation and communication.