Johns Hopkins University

Statistics for Civic Life Specialization

Johns Hopkins University

Statistics for Civic Life Specialization

Statistical Reasoning for Data-Driven Decisions.

Build skills in data analysis, inference, probability, and simulation for real-world decisions

Joseph W. Cutrone, PhD
Justine Stauffer

Instructors: Joseph W. Cutrone, PhD

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What you'll learn

  • Analyze and visualize data to identify patterns, relationships, and meaningful differences in real-world contexts.

  • Apply statistical inference to evaluate evidence, estimate population characteristics, and communicate uncertainty.

  • Use probability models, simulation, and random variables to quantify uncertainty and support data-driven decisions.

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Taught in English
Recently updated!

September 2026

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Specialization - 3 course series

Statistics for Civic Life I: Understanding Data

Statistics for Civic Life I: Understanding Data

Course 1, 7 hours

What you'll learn

  • Collect, visualize, and summarize data using appropriate statistical methods.

  • Analyze relationships using correlation and linear regression.

  • Evaluate statistical claims and communicate data-driven conclusions clearly.

Skills you'll gain

Category: Data Literacy
Category: Data Collection
Category: Descriptive Statistics
Category: Statistics
Category: Data Visualization
Category: R Programming
Category: Sampling (Statistics)
Category: R (Software)
Category: Regression Analysis
Category: Statistical Methods
Category: Statistical Reporting
Category: Statistical Analysis
Category: Data Analysis
Category: Data-Driven Decision-Making
Category: Statistical Software
Category: Exploratory Data Analysis
Category: Data Presentation
Category: Correlation Analysis
Category: Histogram
Category: Statistical Visualization
Statistics For Civic Life II: Statistical Inference

Statistics For Civic Life II: Statistical Inference

Course 2, 9 hours

What you'll learn

  • Explore data distributions, correlation, and linear regression models using R and StatKey.

  • Construct and interpret confidence intervals and hypothesis tests using traditional, bootstrap, and randomization methods.

Skills you'll gain

Category: Science and Research
Category: Statistical Methods
Category: R Programming
Category: Sampling (Statistics)
Category: Sample Size Determination
Category: Probability Distribution
Category: Scientific Methods
Category: Critical Thinking
Category: Data Literacy
Category: Statistical Analysis
Category: Descriptive Statistics
Category: Statistical Software
Category: Statistical Inference
Category: Statistical Programming
Category: Data Visualization
Category: Statistics
Category: Probability & Statistics
Category: Statistical Reporting
Category: Statistical Hypothesis Testing
Category: Policy Analysis
Statistics for Civic Life III: Probability & Chance

Statistics for Civic Life III: Probability & Chance

Course 3, 10 hours

What you'll learn

  • Apply probability rules, expected values, and discrete or continuous probability distributions to solve real-world problems.

  • Analyze discrete and continuous probability distributions using expected value, variance, and basic calculus.

Skills you'll gain

Category: Risk Modeling
Category: Sampling (Statistics)
Category: Probability
Category: Descriptive Statistics
Category: Statistics
Category: Combinatorics
Category: Integral Calculus
Category: Probability Distribution
Category: Simulations
Category: Probability & Statistics
Category: Statistical Modeling
Category: Applied Mathematics
Category: Quantitative Research
Category: Calculus
Category: R Programming

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Instructors

Justine Stauffer
Johns Hopkins University
3 Courses11 learners

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