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Probability and Uncertainty in Statistics

Master probability concepts and statistical uncertainty measurement for data-driven decision making.

Master probability concepts and statistical uncertainty measurement for data-driven decision making.

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.

4.6

(15 ratings)

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Probability and Uncertainty in Statistics

This course includes

10 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Calculate and interpret probability in various scenarios

  • Understand random variables and probability distributions

  • Compute and interpret confidence intervals

  • Conduct effective hypothesis testing

  • Evaluate statistical significance in regression analysis

  • Assess uncertainty in polling and statistical estimates

Skills you'll gain

Statistical Analysis
Probability Theory
Hypothesis Testing
Confidence Intervals
Statistical Significance
Random Variables
Regression Analysis
Normal Distribution
Statistical Inference
Data Interpretation

This course includes:

1.6 Hours PreRecorded video

15 quizzes, 1 peer review

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

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There are 4 modules in this course

This comprehensive course explores probability theory and statistical uncertainty measurement. Students learn key probability concepts, probability distributions, and their application in quantifying uncertainty. The curriculum covers hypothesis testing, confidence intervals, and regression analysis interpretation. Special attention is given to statistical significance testing and its practical applications in data-driven decision making. The course combines theoretical foundations with practical examples to develop strong statistical reasoning skills.

Probability Theory

Module 1 · 2 Hours to complete

Random Variables and Distributions

Module 2 · 2 Hours to complete

Confidence Intervals and Hypothesis Testing

Module 3 · 2 Hours to complete

Quantifying Uncertainty in Regression Analysis and Polling

Module 4 · 2 Hours to complete

Fee Structure

Instructor

Jennifer Bachner, PhD
Jennifer Bachner, PhD

13,740 Students

5 Courses

Leader in Data Analytics and Policy at Johns Hopkins University

Dr. Jennifer Bachner is a prominent academic and Director of the Master of Science in Data Analytics and Policy program at Johns Hopkins University. She also oversees the Certificate in Government Analytics program, where she focuses on equipping students with the analytical skills necessary to address complex policy challenges. With a Ph.D. in Government from Harvard University, Dr. Bachner has authored several influential works, including "America’s State Governments: A Critical Look at Disconnected Democracies" and "What Washington Gets Wrong," both co-authored with Benjamin Ginsberg. Her report on predictive policing, published by the IBM Center for the Business of Government, reflects her expertise in using data analytics to inform public policy.In addition to her research and administrative roles, Dr. Bachner is an advocate for online education and has published work on teaching research methods in political science. Her insights have been featured in major media outlets such as the Washington Post and NPR, highlighting her influence in the fields of political behavior and analytics. Through her courses on Coursera, including "Data Literacy Capstone" and "Quantifying Relationships with Regression Models," she aims to empower learners with essential skills for navigating data-driven decision-making in governance.

Probability and Uncertainty in Statistics

This course includes

10 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.6 course rating

15 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.