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.  

Overview

Subject: Data Analytics, R Programming

Level: Beginner, intermediate

Duration: Six (6) weeks, 5-8 hours per week

Dates: February 1 – March 12, 2021

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

Program Details

• Curriculum and Schedule 

• Admissions and Fees

Questions? Meet our team and contact us directly.