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Applied Data Analysis for Policymakers

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  • Format: In-person
  • Dates: 6/3 - 6/7 ; 7/29 - 8/2
  • Duration: 5 Days
  • Fees: $4800

Data plays a critical role in the global economy and international affairs. As our collective digital footprint continues to grow, mastering data analytics is increasingly a core competence for policy professionals in the United States and beyond.

The program is designed for professionals in industry, government, and the non-profit sector who need to understand and apply data analytics in their research and practice. Participants learn how to manipulate, analyze, and visualize different data sets using the R statistical programming language. The program has a heavy focus on applied data analysis, with examples and cases tailored for professionals in domestic and international public policy.

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LEARNING OUTCOMES

  • Gain an in-depth understanding of data analytics, including both statistical principles and statistical programming methods. 
  • Master key techniques of data collection, wrangling, descriptive analysis, regression models, predictive analysis, simulation, and visualization. 
  • Apply data analytics to real-world cases in international affairs, public policy, and business. 

PROGRAM SCHEDULE

  • The Basics: downloading, installing, and using R and RStudio 

  • The Foundation: Essentials of statistical programming in R

  • Principles of data description and visualization

  • Descriptive statistics using R

  • Data visualization using R

  • Predictive modeling using R

  • Simulations and thought experiments using R

  • Analyzing and visualizing global data sets

  • Working with big data and online data scraping

  • Relevant examples from contemporary domestic and international policy challenges

  • Presentations and white-boarding

  • Program completion reception and certificate ceremony

  • Networking opportunities and Washington, D.C. tours