Data Science

The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. The Harvard Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. The program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.
In each course, the instructors use motivating case studies, ask specific questions, and help you learn by answering these through data analysis. Case studies include: Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems.
Throughout the program, you will be using the R software environment. You will learn R, statistical concepts, and data analysis techniques simultaneously as you can better retain R knowledge when you learn how to solve a specific problem.

Classroom Hours Per Week: 2.0