We may earn an affiliate commission when you visit our partners.

Statistics with R

Mine Çetinkaya-Rundel, David Banks, Colin Rundel, Merlise A Clyde, Mine Ã‡etinkaya-Rundel, and Colin Rundel

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Help others find this collection page by sharing it with your friends and followers:

Facebook

Copy Link

What's inside

Four courses

Linear Regression and Modeling

(10 hours)

This course introduces simple and multiple linear regression models. These models let you assess relationships between variables in a data set and a continuous response variable. Using the free statistical software R and RStudio, you will learn to fit, examine, and utilize regression models to examine relationships between multiple variables.

View more details for this course

Bayesian Statistics

(30 hours)

This course introduces Bayesian statistics, where inferences are updated as evidence accumulates. You will learn Bayes' rule, the Bayesian paradigm, and practical applications in R. We assume knowledge from the earlier courses in this specialization: "Introduction to Probability and Data," "Inferential Statistics," and "Linear Regression and Modeling."

View more details for this course

Inferential Statistics

This course covers statistical inference methods for numerical and categorical data. You will learn to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis. Using R and RStudio, you will learn to report estimates of quantities and express the uncertainty of the quantity of interest.

View more details for this course

Introduction to Probability and Data with R

(30 hours)

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization.

View more details for this course

Save this collection

Create your own learning path. Save this collection to your list so you can find it easily later.

Save

Time

4267 hours

Via

Coursera

Institution

Duke University

Instructors

Mine Çetinkaya-Rundel

David Banks

Colin Rundel

Merlise A Clyde

Mine Ã‡etinkaya-Rundel

Colin Rundel

Share this

Share to help others discover this collection.

Facebook

Link

Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.