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For individuals from diverse academic and professional backgrounds, this program provides a foundation in quantitative tools and how to apply rigorous analytics in policy.
The accelerated format will take you from novice to intermediate in only six weeks.
The part-time program format is compatible for those enrolled in school full-time or who are working full-time.
Subject: Data Analytics, R Programming
Level: Beginner, intermediate
Duration: Six (6) weeks, 5-8 hours per week
Dates: February 1 – March 12, 2020
No experience required
Asynchronous lectures: learn on your own schedule
Live support: ask questions in office hours and via discussion boards
This program is a fit if you are:
How to retrieve, clean, visualize, and analyze data
How to write and share code in R Programming
Understand the fundamental problem of causal inference
How to use statistical modeling to navigate around the causal inference issue
Questions? Meet our team and contact us directly.