This course teaches practical data science skills, applied to real business problems, using the python programming language. Students will learn essential skills that span the fields of statistics, data science and programming. Statistical models will be developed for time series, cross sectional and panel data analysis. Interpretation is strongly emphasized as students navigate causation and correlation. Students will use virtual machines to spin up cloud instances that perform the entire data pipeline from importing/merging data using different sources, cleaning/transforming data, deploying statistical models and visualizing results. This course does not assume any prior knowledge of either statistics or programming.
Prerequisite Courses
Semester Offered
Offered fall and spring semesters.