Data Analytics for Policy Professionals

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

Now accepting students for Summer and Fall 2025 courses! See below for application details.

APSIA Announcement

"The ability to take data – to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it – is going to be a hugely important skill in the next decades."

Hal Varian
Chief Economist at Google

Data Analytics for Policy Professionals is a program for professionals of all ages, aimed at bridging the gap between data science and traditional analysis in international affairs and public policy. The ability to bridge data skills with job-specific knowledge is increasingly in demand across the public, private, and non-profit sectors. Our curriculum responds to these exact needs and 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. It offers flexible weekend course options and is taught by ESIA’s world-class faculty.

Data Literacy Badge

Data Proficiency Badge

Data Fluency Badge

Data Mastery Badge

We offer a range of upskilling courses designed to complement rather than supplant traditional policy analysis. We aim to empower policy professionals in their current roles and promote policy excellence through mastery of basic data science skills. But we also understand that the definition of “mastery” is relative. For some, mastery may entail simply understanding the basic intuition behind a given technique or skill, whereas for others it will involve developing a fully functional model or application. We therefore strive to be inclusive by offering courses targeted at learners with different skill sets while ensuring that every student in every course learns something new.

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

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.

How it works:

Sign up to take our 1.5 credit weekend courses, offered both online and in-person — and earn a new badge for each additional course (data literacy through data mastery).
Take four short courses to earn a 6 credit micro certificate in "Data Analysis for Policy Practice."
Transfer up to 6-credits towards an Elliott School Masters Program or Graduate Certificate*
Non-credit seminars and courses also offered for more 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
A culminating keynote and networking event

*Please note that the 1.5 credit DAPP courses are for non-degree students only. Current ESIA students are not eligible to take the 1.5 credit DAPP courses (listed as IAFF 6505). Several of these courses will be offered simultaneously as one-credit ESIA skills courses under IAFF 6502 or IAFF 6503. Current ESIA students must enroll in the one-credit versions of these courses (IAFF 6502 or IAFF 6503). Please contact esiadappgwu [dot] edu (esiadapp[at]gwu[dot]edu) for more information about data analytics course offerings for current ESIA students.

How to Apply

Online Application
To apply, go to the application portal and select 'I am a graduate or non-degree student.' You will be prompted to create a username, confirm your email address, and then create a password. Once these steps are completed, you will be able to log in and start a new application.

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? Non-Degree
School: Summer & Non-Degree Programs
Field of Study: Data Analytics for Policy Professionals
Degree: Non-Degree
Concentration: Not Applicable
Term: [Whichever term the course you wish to take is in; currently accepting applications for Summer 2025]
Required Information
In addition to completing the application (no application fee required), please make sure to attach

Statement of interest identifying which course(s) you wish to participate in and what skills you hope to develop. (upload as PDF)
Resume (upload as PDF)
Unofficial transcript from your undergraduate or graduate institution where a degree was obtained (If you do not have a transcript to upload in the application, you may email the transcript to esiagradgwu [dot] edu (esiagrad[at]gwu[dot]edu), once obtained).

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

Your New Credentials:

Using George Washington as a sample student...

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

Secured via blockchain, ensuring that your credentials are protected and connected with you as the verified earner
Easily accessible online, from any location
Able to be posted and shared on LinkedIn, added to your email signature, and connected with your other online profiles
Housed on your own personal Accredible webpage, allowing you to showcase the full range of credentials you have earned in one easy place

Course Lineup

Students who complete courses will receive digital badges of achievement to reflect their successful completion. Upon successful completion of four courses, students are eligible to receive a graduate micro-certificate of achievement reflecting a 6-credit credential in "Data Analysis for Policy Practice" issued by the Elliott School of International Affairs at the George Washington University.

Start your application

IAFF 6505 Data Analysis & Viz w/ Tableau (June 2025)

Level: Beginner-Intermediate

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

Dates/Times: Sunday, June 8, 9:00 AM - 5:00 PM; Sunday, June 15, 9:00 AM - 5:00 PM; Sunday, June 22, 9:00 AM - 5:00 PM; Keynote and Networking event, date TBD

Apply by: Friday, May 9, 11:59 PM

Credits: 1.5

Professor: Paul Albert

Skills learned: Tableau, Basic Data Communication

Format: In-person

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.

IAFF 6505 Expert Foreign Policy Decision-Making Using Data (August 2025)

Level: Beginner-Intermediate

Perfect for: Beginners who have never coded in R before, but are looking for low-stakes, hands-on, guided instruction. Also good for Senior Managers who want to understand what goes into data modeling behind-the-scenes.

Dates/Times: Friday, August 1, 5:00 PM - 8:00 PM; Saturday, August 9, 9:00 AM - 4:00 PM; Keynote and Networking event, date TBD

Apply by: Friday, July 4, 11:59 PM

Credits: 1.5

Professor: Leonardo Antenangeli and Daniel Spokojny

Skills learned: Excel, PowerBI

Format: Online

Description: This course will help you familiarize yourself with the R programming language and RStudio integrated development environment (IDE). R is a free tool primarily used for statistical analysis. R is open source and benefits from several contributions (“packages” or “libraries”) made by independent researchers. Statistical analysis is critical for effective, evidence-based policy making, and R counts itself among the highly sought-after skills in the policy realm. In this class you will learn the fundamentals needed to create effective R scripts, run basic analyses, and troubleshoot (or debug) your code. You will also acquire the tools necessary to further develop your R skills to attain advanced-level programming knowledge.

IAFF 6505 Digital Governance & Government Efficiency (September 2025)

Level: Beginner

Perfect for: TBD

Dates/Times: Friday, September 12, 5:00 - 8:00 PM; Saturday, September 13, 9:00 AM - 5:00 PM; Friday, September 19, 5:00 - 8:00 PM; Saturday, September 20, 9:00 AM - 5:00 PM; Keynote & Networking Event TBD

Apply by: Friday, August 15, 11:59 PM EST

Asynchronous work begins (tentatively): September 1

Credits: 1.5 credits

Professor: Anit Mukherjee

Skills learned: TBD

Description: TBD

IAFF 6505 Digital Development: Monitoring & Evaluation in Practice (September 2025)

Level: Beginner

Perfect for: Those interested in global development, and in learning a new tool to track progress

Dates/Times: Thursday, September 25, 5:10 - 8:00 PM; Friday, September 26, 5:10 - 8:00 PM; Saturday, September 27, 9:00 AM -2:00 PM; Thursday, October 2, 5:10 - 8:00 PM; Friday, October 3, 5:10 - 8:00 PM; Saturday, October 4, 9:00 AM - 2:00 PM; Keynote & Networking Event TBD

Apply by: Friday, August 29, 11:59 PM EST

Asynchronous work begins (tentatively): September 3

Credits: 1.5 credits

Professor: Aasit Nanavati

Skills learned: Exclusive access to DevResults software

Description: The importance and rise in technology innovation in the international development space has brought about new solutions to complex problems and created challenges for successful program implementation. Students will explore the opportunity technology plays as a catalyst for social impact and sustainability across the development landscape. The course will introduce students to the DevResults platform along with practical implementations of technology solutions from leaders within the field.

IAFF 6506 International Business Data w/ Power BI (October 2025)

Level: Beginner

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

Dates/Times: Thursday, October 16, 5:00–8:00 PM; Friday, October 17, 5:00–8:00 PM; Saturday, October 18, 9:00 AM–4:00 PM; Sunday, October 19, 9 AM - 1 PM; Keynote & Networking Event TBD

Apply by: Thursday, September 18, 11:59 PM EST

Asynchronous work begins (tentatively): October 8

Credits: 1.5 credits

Professor: Anthony Adoleke

Skills learned: Excel, PowerBI

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.

IAFF 6505 Artificial Intelligence for Decision-Makers (November 2025)

Level: Beginner

Perfect for: Decision-makers who need to understand AI and its capabilities without becoming technical specialists.

Dates/Times: Friday, November 7, 5:00 - 8:30 PM; Saturday, November 8, 10:00 AM - 3:30 PM; Friday, November 14, 5:00 - 8:30 PM; Saturday, November 15, 10:00 AM - 3:30 PM; Keynote & Networking Event TBD

Apply by: Friday, October 10, 11:59 PM EST

Asynchronous work begins (tentatively): October 30

Credits: 1.5 credits

Professor: Marco Morales

Skills learned: Technical understanding of AI

Description: This course equips non-technical leaders with the essential background to make informed decisions about AI. Students will develop a comprehensive understanding of AI fundamentals without delving into complex mathematics, algorithms or coding. The curriculum covers the building blocks of AI (computing, data, and algorithms), the evolution of machine learning and deep learning, and the mechanics behind generative AI. Students will also explore cutting-edge trends, while mapping the key individuals and organizations shaping the AI landscape—from research pioneers to influential companies and startups. By demystifying technical concepts through accessible analogies and real-world examples, students will understand the full “menu” of AI capabilities, gain confidence in evaluating AI solutions, and learn to engage effectively with technical teams in today’s rapidly evolving AI landscape.

Past Courses

IAFF 6505 Applied AI: Digital Democracy

Level: Beginner

Perfect for: Anyone interested in what AI is and how it can be used for Predictive Analysis.

Credits: 1.5 credits

Professor: Burcu Kilic

Skills learned: Exclusive access to 3rdEye AI software

Format: In-person

Description: This course provides a comprehensive understanding of how artificial intelligence (AI) is disrupting democracy, both as a concept and practice. It covers the foundational concepts of AI and democracy, the intersection of between the two domains, ethical considerations, and real-world applications of AI in democratic process. Students will engage with case studies, conduct hands-on exercises, and explore the implications of AI in building the future of democracy, governance and society.

IAFF 6505 Introduction to GIS I

Level: Beginner

Credits: 1.5 credits

Professor: Adam Wunische, PhD

Format: Online

Description: In this course, students will further their knowledge and understanding of how to use geographic information systems (GIS) or mapping software as used in international security and conflict studies. By the end of this course, students will be able to use open-access programs and data to produce custom maps that communicate conflict dynamics and effectively incorporate these into sophisticated geospatial conflict analysis.

IAFF 6505 Research and Data 101

Level: Beginner

Perfect for: Senior Leaders of analytic teams; Data Novices. If you don’t have any background knowledge in data but would like to better understand the data outputs from your team, this is the class for you!

Credits: 1.5 credit

Professor: Leonardo Antenangeli and Laila Sorurbakhsh, ESIA

Skills learned: No-code introduction to data and its uses, asking the “Right Questions”

Format: In-person

Description: In this course, participants will learn the basics of data, its uses, and what goes into data modeling. Learn to facilitate collaboration between policy analysts and data scientists for data-informed policy development, evaluate and interpret analyses and give feedback to improve modeling and forecasting, provide real-world context to models provided by data scientists, communicate policy scenarios based on data visualizations and predictive models, and utilize modern data-driven tools to evaluate policy and program success.

IAFF 6505 Communicating Data with Web Apps

Level: Intermediate/Advanced

Perfect for: Students with R backgrounds looking for a challenge and a new skill!

Credits: 1.5 credit

Professor: Emmanuel Teitelbaum, ESIA

Skills learned: R-Shiny

Format: In-person

Description: Interactive apps and dashboards are becoming popular ways to convey data to non-statistical audiences. This introductory course on Shiny Apps is tailored for participants interested in transforming their data visualizations into interactive experiences. You'll learn how to empower users to engage with your data, enabling them to derive their own insights in a way that would not be possible with traditional static visualizations. A fundamental part of the course will be understanding reactivity in Shiny, a key element that makes dynamic user interaction possible. We'll start with simple apps focusing on a single visualization and gradually progress to more complex applications with multiple inputs and, ultimately, to creating comprehensive dashboards. Prior knowledge of R is recommended for course participants.

IAFF 6505 Survey Design for Public and International Policy

Level: Beginner/Intermediate

Perfect for: Anyone who uses surveys to collect data or uses survey data to inform decision-making or policy.

Professor: Eric Kramon, ESIA

Skills learned: R/RStudio

Format: In-person

Description: Learn to develop surveys the right way to maximize the accuracy of your research. This course will cover all aspects of survey design and implementation, including different approaches to sampling (random sampling, stratified sampling, cluster sampling, non-probability sampling), the construction and use of survey weights, survey question design, tradeoffs involved in decisions about different survey modes, and analysis and visualization of survey data. Throughout, we will use R/RStudio to learn and practice the coding skills required to implement these various aspects of the survey process.

IAFF 6505 Data Analysis and Visualization Using Tableau

Level: Beginner

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

Professor: Paul Albert, ESIA

Skills learned: Tableau, Basic Data Communication

Format: In-person

Description: I have some data, now what!?! This foundational skills course is geared toward students looking to develop data skills using Tableau. Students will work hands-on with Tableau (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 the course is meant to be a gentle introduction to Tableau, even students who already have some experience in Tableau will find the course rewarding. Not only will this course help you build the necessary 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.

IAFF 6505 Expert Foreign Policy Decision-Making Using Data

Level: Beginner

Professor: Leonardo Antenangeli, PhD

Skills learned: R/Posit

Format: In-person

Description: This course blends the “how” with the “why”: Why do we need to learn data analysis for the practice of foreign and domestic policymaking, and how do these skills add value to the quality of policy we produce and implement? This course will not only help you familiarize yourself with the R programming language and R Studio integrated development environment (IDE), but it will also discuss how these skills can be used to benefit strategic policy thinking and expert-level decision making. Statistical analysis is critical for effective, evidence-based policy making, and R counts itself among the highly sought after skills in the policy realm. R is an open source, analytic tool that benefits from several contributions (“packages'' or “libraries”) made by independent researchers. In this class you will learn the fundamentals needed to create effective R scripts, run basic analyses, and troubleshoot (or debug) your code.

IAFF 6505 Visualizing and Modeling International Politics

Level: Beginner/Intermediate

Credits: 1.5 credit

Professor: Emmanuel Teitelbaum, ESIA

Skills learned: R, Tidyverse

Description: The ability to visualize your data is a fundamental skill increasingly required in virtually every professional or academic context. Data visualization is a key first step of any compelling statistical analysis, but frequently a good visualization can be in and of itself enough to persuade your audience of your main point. If a picture is worth a thousand words, then how many regression tables is a well-crafted plot worth? In this class, we will learn to create a variety of visualizations including line charts, bar charts, scatter plots and maps with the Tidyverse group of packages in the R programming language. We will use ggplot2 to create bar charts, line charts, scatter plots, and choropleth maps. The class will explore how to make interactive maps with popups and markers using the leaflet package. Along the way, we will learn to utilize a number of Tidyverse packages including dplyr and tidyr to wrangle data into the correct form for visualization. Examples will be pertinent to the field of International Affairs and we will learn to use packages that enable us to download data from social science APIs like the Varieties of Democracy (V-Dem) dataset and the World Bank. We will also host a guest lecture connecting the work you do in this class to the work you do as an international affairs or public policy practitioner.

IAFF 6505 Mapping Data: GIS for Presentations

Level: Beginner/Intermediate

Credits: 1.5 credit

Professor: Adam Wunische, ESIA

Skills learned: Geospatial Analysis, QGIS

Description: In this course, students will further their knowledge and understanding of how to use geographic information systems (GIS) or mapping software as used in international security and conflict studies. This course will start with installation and initial setup of the GIS program QGIS. It will then explore how GIS is used in conflict studies and the major advantages it provides over non-spatial datasets and analysis. It will then explore the different types of data that can be used in GIS and how to load and manipulate the data. Students will learn how to do basic analyses of the data and produce simple maps for publications.

IAFF 6505 Digital Development: Monitoring and Evaluation

Level: Beginner

Perfect for: Those interested in global development, and in learning a new tool to track progress

Professor: Aasit Nanavati

Skills learned: Exclusive access to DevResults software

IAFF 6505 Experiments for Impact Evaluation

Level: Beginner

Perfect for: Creative types who can envision new datasets that don’t yet exist!

Professor: Eric Kramon, PhD

Skills learned: R, Experimental Design

Description: Learn how to design experiments to accurately measure your impact. This course will cover the key aspects of experimental design and analysis of experimental data, and teach you how to address challenges that are often confronted in experimental research (such as attrition, spillover effects, and ethical questions). By the end of the course, you will have an experimental design and data analysis plan ready for implementation.

IAFF 6505 International Business Data with PowerBI