Data Analytics for Policy Professionals

A Flexible, Short-Term Program Bridging Data Science With International Affairs and Public Policy

The Data Analytics for Policy Professionals (DAPP) program at the Elliott School of International Affairs equips government officials, policy analysts, NGO staff, and other professionals with the data science skills needed for evidence-based decision-making. Our curriculum — redesigned under Director Omar García-Ponce — offers a modular, one-credit course format organized across five substantive policy tracks and three skill levels: beginner, intermediate, and advanced. Whether you are new to data or looking to expand a technical toolkit, DAPP provides flexible, intensive learning experiences taught by world-class Elliott School faculty and industry practitioners. 

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Three-Tiered Skill Classification

Skill Levels:

Beginner: No prerequisites required. Accessible to complete novices, including code-light and no-code options.

Intermediate: Requires completion of at least one beginner course or equivalent professional experience. Introduces more sophisticated techniques and real-world analytical challenges.

Advanced: Requires completion of at least one intermediate course or demonstrated prior experience. Produces professional-level outputs and portfolio-quality work.

Data Literacy Badge

Data Literacy Badge 

(2 credits, 2 beginner-level courses)

Data Proficiency Badge

Data Proficiency Badge

(3 credits, 3 courses, ≥1 intermediate or advanced)

Data Fluency Badge

Data Fluency Badge

(4 credits, 4 courses, ≥2 intermediate or advanced)

Data Mastery Badge
Policy Excellence Badge and Certificate

Data Mastery Badge

(6 credits, 5 courses (≥3 advanced) + 1-credit Capstone supervised by DAPP Program Director)

 

Upon earning the Data Mastery badge, participants receive a micro-certificate in Data Analysis for Policy Professionals issued by The George Washington University, which appears on official academic records and can be shared with employers.
 

 

We offer a range of upskilling courses designed to complement traditional policy analysis and help policy professionals strengthen their work with practical data science skills. Because learners have different backgrounds and goals, our courses are designed for a range of experience levels, from those looking to understand key concepts to those who want to build practical models and applications. Whatever your starting point, you'll gain new skills that you can apply in your work.

Your New Credentials

ESIA has partnered with Accredible, an industry-leading platform for issuing and managing secure digital credentials and badges.  

 

How it works:

  • Sign up for 1-credit  intensive courses, offered both online and in-person and mostly over the weekends.
  • Earn a new credential badge for each course level completed (Data Literacy through Data Mastery).
  • Complete six credits — five courses plus a Capstone Project — to earn the micro-certificate in Data Analysis for Policy Professionals.
  • Transfer up to 6 credits toward an Elliott School Master's Program or Graduate Certificate*
  • Three DAPP courses (3 credits) can fulfill the Elliott School’s three-credit methods requirement for MA students with advisor approval.
  • Non-credit seminars are also available for general professional development.

All courses feature:

  • Elliott School-affiliated faculty
  • Live, synchronous sessions and hands-on projects
  • Roughly 2 weeks of asynchronous pre- and post-work
  • Feedback on assignments and discussions
  • Credit-bearing options for lifelong learners
  • Guest speakers and collaborative opportunities

Curriculum Tracks

DAPP courses are organized across five substantive policy tracks and three skill levels. This two-dimensional structure ensures technical skills are taught in relevant policy contexts — mirroring how data analysis is actually used in government, international organizations, NGOs, and the private sector. Students may specialize within a track or sample across tracks depending on their professional goals.
 

TrackFocus Areas
Policy Impact & EvaluationMonitoring and evaluation, impact assessment, program evaluation design, cost-benefit analysis, and case studies in health or education policy.
Geospatial & Remote Sensing AnalysisSpatial data, satellite imagery, and remote sensing technologies to analyze environmental, social, and economic patterns across sectors including security, sustainability, and urban planning.
International SecurityData-driven security studies including conflict data analysis, cybersecurity analytics, and early warning systems using big data.
Trade & Economic AnalysisInternational economics and market data including trade flow analysis, economic forecasting, and financial networks and sanctions data.
Digital GovernancePolitical communication and online data, covering social media sentiment analysis, disinformation tracking, and AI in governance.

Fall 2026

List of Courses

55981 – IAFF 6502 – Professional Skills I: STATA: Fundamentals

  • Beginner level 

56731 – IAFF 6502 – Professional Skills I: Tableau Data Visualization & Analysis

  • Intermediate level 

57311 – IAFF 6502 – Professional Skills I: Satellite Imagery & Security Policy

  • Advanced level
  • Geospatial & Remote Sensing Analysis 

54168 – IAFF 6502 – Professional Skills I: Public Opinion in International Affairs

  • Advanced level
  • Policy Impact & Evaluation 

51785 – IAFF 6502 – Professional Skills I: Intro to R

  • Beginner level 

51843 – IAFF 6502 – Professional Skills I: Intro to GIS I

  • Beginner level
  • Geospatial & Remote Sensing Analysis 

55992 – IAFF 6503 – Professional Skills II: International Business Data in Power BI

  • Beginner level
  • Trade & Economic Analysis 

51748 – IAFF 6503 – Professional Skills II: Political Risk Analysis

  • Intermediate level
  • International Security, Trade & Economic Analysis & Digital Governance 

Full List of Professional Skills Courses

*Not all professional courses count toward DAPP requirements.

Summer 2026

Session 1 (June 2026): IAFF 6505 Data Analysis & Visualization with Tableau

Level: Beginner-Intermediate

Perfect for: Code-hesitant learners who want to make pretty charts and graphs!

Dates/Times: Sunday, June 7, 9:00 AM - 5:00 PM; Sunday, June 14, 9:00 AM - 5:00 PM; Sunday, June 21, 9:00 AM - 5:00 PM

Credits: 1.0

Professor: Paul Albert

Skills learned: Tableau, Basic Data Communication

Format: In-person

Apply By: Sunday, May 17th

Description: I have some data, now what!?! This skills course is geared toward students looking to develop fundamental data skills using Tableau. Students will work hands-on with Tableau (using a free Academic License) to analyze several datasets and create various types of visualizations. Along the way, students will be challenged to think about how their visualizations can be improved to communicate their ideas and findings more clearly. While this course is meant to be a gentle introduction to Tableau, even students who already have some experience in Tableau will likely find it rewarding. Not only will this course help you build the foundational skills for evidence-based policy formulation, but it will also make you more marketable. Tableau and data communication skills are in high demand among employers and can help set you apart in your professional career.

Session 2 (July 2026): IAFF 6505 International Business Data with Power BI

Level: Beginner

Perfect for: Code-hesitant learners who want to make pretty charts and graphs!

Dates/Times: Friday, July 17th, 4:00PM - 8:00 PM; Saturday, July 18th, 9:00 AM- 5:00 PM; Sunday, July 19th, 12:00 PM - 6:00 PM

Credits: 1.0

Professor: Anthony Adoleke

Skills learned: Excel, PowerBI

Format: In-person

Apply By: Sunday, June 28th

Description: In this course, International Business Data with PowerBI, you'll embark on a journey to master the essentials of data visualization and cleaning techniques using Power Query. Learn the art of creating compelling visualizations, enabling you to communicate business insights effectively. Dive into the intricacies of Power Query to skillfully clean and shape international datasets, ensuring the accuracy and reliability of your analyses.

DAPP courses are open to both current GWU/ESIA students and outside professionals. Please contact esiadappatgwu [dot] edu (esiadapp[at]gwu[dot]edu) for enrollment guidance.

Start your application

Bulletin Requirements


Cost

Tuition rates can be found on the Non-Degree Tuition Rates Page. Calculate the cost using 1 credit hour.

There is no application fee for this program.


How to Apply

Online Application

To apply, go to the application portal and select "Create an Account" if you have never logged in before or "Log In" if you already have an account.

On the first page of the application, choose the following options (each field must be selected before the following field options will populate):

  • What type of program are you applying to? Elliott School of International Affairs
  • Anticipated Enrollment Status: Part Time
  • Degree Level: Non - Degree
  • Program:  Data Analytics for Policy Professionals
  • Degree: Non-Degree
  • Campus: Main Campus/Online
  • Term: [Whichever term the first course you wish to take is in (e.g. Spring 2026)]
  • Session: See below for session numbers

Required Information

In addition to completing the application (no application fee required), please make sure to attach

  • Statement of interest (1 paragraph) identifying which course(s) you wish to participate in and what skills you hope to develop. (upload as PDF)
  • Resume (upload as PDF)
  • School Information

All application materials are due by the deadline listed below the first course you wish to enroll in.


Faculty Biographies

Omar García-Ponce headshot

Omar García-Ponce, Ph.D.

Director, Data Analytics for Policy Professionals (DAPP) Program; Associate Professor of Political Science and International Affairs, ESIA

 
 
Burcu Kilic headshot

Burcu Kilic

Senior Fellow at the Center for International Governance Innovation

 

Anthony Adeleke

Anthony Adeleke

Lead Data Scientist at the Internal Revenue Service, Professorial Lecturer, ESIA

Marco Morales headshot

Marco Morales

Data Scientist & Professional Lecturer, Columbia Business School

 

 

Our Mission

To bridge data science with international affairs and public policy

To upskill domestic and foreign policy practitioners from data literacy to proficiency, fluency, and mastery to achieve policy excellence

To revolutionize policy through evidence-based approaches that combine content expertise with analytic skills, organized across five policy tracks from Impact & Evaluation to Digital Governance.

 

 

 
The curriculum was developed in consultation with federal agencies including The U.S. Department of State, The Department of Labor, The Foreign Service Institute, and The National Security Council, as well as think tanks and industry leaders such as fp21 and GDIT.

Contact Us

Email: esiadappatgwu [dot] edu (esiadapp[at]gwu[dot]edu)

Location: 1957 E St. NW, 401-E, Washington, D.C., 20052