In this workshop we will look at the kinds of tools that data scientists use (e.g., programming languages, statistics packages, version control, text editors and integrated development environments) and discuss the pros and cons of popular alternatives. What programming languages are popular for statistics and data science? What tools are useful for working with those languages? Should I learn R or Python, or stick with something easier like Stata? If you've asked yourself any of these or similar questions, this workshop is for you!
The duration of the workshop is 3 hours and is open to Harvard faculty, students, and staff. There are no hands-on expercises, so no software installation or setup is required. Just bring your curiosity and we’ll do the rest!
Audience: Harvard Faculty, Students, and Staff are all welcome.
Software Version: None
Late Drop/Cancel Fee: none
Please email Ista Zahn with questions.