Introduction to data science
Module: 5. Policy Analysis Concentration Elective | 6. Portfolio Elective | 7. Portfolio Elective
Instructors: Prof. Dr. Simon Munzert
This course will introduce you to the modern data science workflow with R. In recent years, data analysis skills have become essential for those pursuing careers in policy advocacy and evaluation, business consulting and management, or academic research in the fields of education, health, and social science. We will cover topics like version control (Git) and project management; data collection, wrangling, storage, and visualization; model fitting and simulation; advanced workflow issues, debugging, automation; and data science ethics. The course is intended for students with some experience in working with R.
This course is for 2nd year MIA, MPP and MDS students only.Find out more