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Develop and expand your data analytics skills in eight weeks.

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. 

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Overview

Subject: Data Analytics, R Programming

Level: Beginner, intermediate

Duration: 8 weeks, 5-8 hours per week

Dates: February 1 – March 29, 2022

Cost: $2,500

Features:

  • No experience required

  • Asynchronous lectures: learn on your own schedule

  • Live support: ask questions in office hours and via discussion boards

Who Will Benefit

This program is a fit if you are:

  • Interested in data analytics and coding
  • Considering a graduate degree or professional path in the field of data science, analytics, or public policy 
  • Seeking a robust foundation in quantitative methodologies  
  • Have limited or no experience in econometrics, statistics, or coding

What You Will Learn

  • 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

 

Ruoxi Chen
Ruoxi Chen

“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

Program Details

Questions? Meet our team and contact us directly.