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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 eight weeks.
The part-time program format is compatible for those enrolled in school full-time or who are working full-time.
The application for 2022 is closed. The application for 2023 will open in fall 2022.
Subject: Data Analytics, R Programming
Level: Beginner, intermediate
Duration: 8 weeks, 5-8 hours per week
Dates: February 1 – March 29, 2022
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
“The highlight of the DAC was getting to know the basics of quantitative analysis, like methodology, usage, and logics. The chance to learn R programming enabled me to explore potential opportunities for coding in my future, such as in the MPP degree.”
– Ruoxi Chen, DAC'21, MPP Class of 2023
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