Data – What It Is, What We Can Do With It
Master data literacy fundamentals through statistical analysis, causal inference, and data visualization. Perfect for professionals in data-driven fields.
Master data literacy fundamentals through statistical analysis, causal inference, and data visualization. Perfect for professionals in data-driven fields.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Literacy Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Interpret descriptive statistics and data visualizations
Develop research studies for causal analysis
Compute and analyze descriptive statistics
Design effective data visualizations
Apply theoretical frameworks to data analysis
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
13 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course introduces students to data and statistics, focusing on interpreting descriptive statistics, causal analyses, and visualizations to draw meaningful insights. Students learn a framework for statistical analysis, covering descriptive, causal, and predictive inference. The curriculum includes developing research studies for causal analysis, computing descriptive statistics, and designing effective visualizations, preparing learners to become thoughtful consumers of analytics.
Data and Theories
Module 1 · 2 Hours to complete
The Causality Framework
Module 2 · 3 Hours to complete
Descriptive Statistics
Module 3 · 2 Hours to complete
Visualizations
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Leading Expert in Data Analytics and Policy at Johns Hopkins University
Dr. Jennifer Bachner is the Director of the Master of Science in Data Analytics and Policy program and the Certificate in Government Analytics program at Johns Hopkins University. With a robust academic background, she earned her Ph.D. in Government from Harvard University and holds undergraduate degrees in political science and social studies education from the University of Maryland, College Park. Dr. Bachner is a prolific author, having co-written significant works such as America’s State Governments: A Critical Look at Disconnected Democracies and What Washington Gets Wrong, alongside Benjamin Ginsberg. Her research focuses on the intersection of analytics, political behavior, and online education, contributing to reports like Predictive Policing: Preventing Crime with Data and Analytics, published by the IBM Center for the Business of Government. As an expert in her field, she has been featured in major media outlets including the Washington Post and NPR. Dr. Bachner's commitment to advancing data-driven policy solutions and her leadership in educational programs underscore her vital role at Johns Hopkins University, where she continues to shape the future of governance and analytics education.
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Frequently asked questions
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