This course covers mastering data science with R and Python through 6 modules over 10 weeks. The modules cover basics of R and Python, basic statistics, advanced statistics, supervised and unsupervised data mining techniques, time series/forecasting, and a final project. Key topics include data types, distributions, hypothesis testing, regression, decision trees, clustering, dimension reduction, and forecasting strategies. Students will complete assignments after each module and work on a final supervised, unsupervised, and dimension reduction project.