Johns Hopkins University

Regression Models

This course is part of multiple programs.

Taught in English

Some content may not be translated

Brian Caffo, PhD
Roger D. Peng, PhD
Jeff Leek, PhD

Instructors: Brian Caffo, PhD

146,188 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.4

(3,344 reviews)

|

92%

53 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Use regression analysis, least squares and inference

  • Understand ANOVA and ANCOVA model cases

  • Investigate analysis of residuals and variability

  • Describe novel uses of regression models such as scatterplot smoothing

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.4

(3,344 reviews)

|

92%

53 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 4 modules in this course

This week, we focus on least squares and linear regression.

What's included

9 videos11 readings1 quiz3 programming assignments

This week, we will work through the remainder of linear regression and then turn to the first part of multivariable regression.

What's included

10 videos5 readings1 quiz3 programming assignments

This week, we'll build on last week's introduction to multivariable regression with some examples and then cover residuals, diagnostics, variance inflation, and model comparison.

What's included

14 videos5 readings2 quizzes3 programming assignments

This week, we will work on generalized linear models, including binary outcomes and Poisson regression.

What's included

7 videos6 readings1 quiz4 programming assignments1 peer review

Instructors

Instructor ratings
4.5 (103 ratings)
Brian Caffo, PhD
Johns Hopkins University
30 Courses1,613,084 learners

Offered by

Recommended if you're interested in Probability and Statistics

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 3344

4.4

3,344 reviews

  • 5 stars

    64.28%

  • 4 stars

    23%

  • 3 stars

    7.53%

  • 2 stars

    2.96%

  • 1 star

    2.21%

GG
5

Reviewed on Apr 25, 2021

SR
5

Reviewed on Jan 3, 2022

LR
5

Reviewed on Oct 6, 2016

New to Probability and Statistics? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions