Jennifer Bachner

Jennifer Bachner, Ph.D., is Director of the Master of Science in Data Analytics and Policy program and Certificate in Government Analytics program at Johns Hopkins University. She is the author of America’s State Governments: A Critical Look at Disconnected Democracies (with Benjamin Ginsberg, Routledge), What Washington Gets Wrong (with Benjamin Ginsberg, Penguin Random House) and editor of Analytics, Policy and Governance (with Kathryn Wagner Hill and Benjamin Ginsberg, Yale University Press). Her report, Predictive Policing: Preventing Crime with Data and Analytics, has been published by the IBM Center for the Business of Government. Her research on online learning and teaching research methods has been published by the Journal of Political Science Education and PS: Political Science and Politics. As an expert on analytics, political behavior, and online education, she has been quoted and/or cited in the Washington Post, Wall Street Journal, Baltimore Sun, Roll Call, Government Executive, and on NPR and Federal News Network. Bachner received her Ph.D. in Government from Harvard University and undergraduate degrees in political science and social studies education from the University of Maryland, College Park

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Data Literacy Capstone – Evaluating Research (Coursera)

This is the final course in the Data Literacy Specialization. In this capstone course, you'll apply the skills and knowledge you have acquired in the specialization to the critical evaluation of an original quantitative analysis. The project will first require you to identify and read a piece [...]

What are the Chances? Probability and Uncertainty in Statistics (Coursera)

Jul 14th 2025
What are the Chances? Probability and Uncertainty in Statistics (Coursera)
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This course focuses on how analysts can measure and describe the confidence they have in their findings. The course begins with an overview of the key probability rules and concepts that govern the calculation of uncertainty measures. We’ll then apply these ideas to variables (which are the [...]

Quantifying Relationships with Regression Models (Coursera)

This course will introduce you to the linear regression model, which is a powerful tool that researchers can use to measure the relationship between multiple variables. We’ll begin by exploring the components of a bivariate regression model, which estimates the relationship between an independent and dependent variable. [...]

Measurement – Turning Concepts into Data (Coursera)

This course provides a framework for how analysts can create and evaluate quantitative measures. Consider the many tricky concepts that are often of interest to analysts, such as health, educational attainment and trust in government. This course will explore various approaches for quantifying these concepts. The [...]

Data – What It Is, What We Can Do With It (Coursera)

This course introduces students to data and statistics. By the end of the course, students should be able to interpret descriptive statistics, causal analyses and visualizations to draw meaningful insights. The course first introduces a framework for thinking about the various purposes of statistical analysis. We’ll talk [...]