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 – What It Is, What We Can Do With It (Coursera) Coursera
Johns Hopkins University

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

Unlock the secrets of data analysis with 'Data – What It Is, What We Can Do With It' on Coursera. This course will equip you with essential skills in interpreting descriptive statistics, conducting causal analyses, and creating effective visualizations to derive valuable insights from data. Perfect for beginners looking to understand the basics or professionals aiming to refine their analytical skills.

Jun 1st 2026
4 Weeks
Measurement – Turning Concepts into Data (Coursera) Coursera
Johns Hopkins University

Measurement – Turning Concepts into Data (Coursera)

Embark on a journey from concept to data with 'Measurement – Turning Concepts into Data'. This course is designed for aspiring and professional data analysts who want to master the art of quantifying complex concepts. Through engaging content, you'll learn how to transform abstract ideas into measurable variables, construct reliable measurement models, and effectively utilize surveys as your primary tool. Whether you're interested in health, education, trust in government, or any other analytical field, this course provides a comprehensive framework for creating and evaluating quantitative measures.

Jun 1st 2026
4 Weeks
Quantifying Relationships with Regression Models (Coursera) Coursera
Johns Hopkins University

Quantifying Relationships with Regression Models (Coursera)

Dive into the world of statistical analysis with our 'Quantifying Relationships with Regression Models' course. Master the art of understanding complex data sets by learning how to apply various regression models effectively. From bivariate to interactive models, this course will equip you with essential skills in data interpretation and predictive analytics.

Jun 1st 2026
4 Weeks
What are the Chances? Probability and Uncertainty in Statistics (Coursera) Coursera
Johns Hopkins University

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

Dive deep into the world of statistics with 'What are the Chances? Probability and Uncertainty in Statistics'. This course unravels the complexities of probability theory and its application to statistical analysis, enabling you to confidently measure and communicate uncertainty. From understanding basic probability rules to conducting hypothesis tests and interpreting regression results, this course equips you with essential skills for analyzing data effectively.

Jun 1st 2026
4 Weeks
Data Literacy Capstone – Evaluating Research (Coursera) Coursera
Johns Hopkins University

Data Literacy Capstone – Evaluating Research (Coursera)

Enhance your understanding of data with the final course in Coursera’s Data Literacy Specialization. This capstone course teaches you to critically analyze an original quantitative analysis, from selecting relevant research to interpreting results and evaluating methodologies. Become adept at consuming and critiquing data-driven studies effectively.

Jun 1st 2026
3 Weeks
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