Skip to content
Mapping with R has been completely revamped. Check it out →
R for the Rest of Us Logo

R is unique among programming languages because it is designed for statistics. Unlike other general purpose languages that can work with data (e.g. Python), data analysis is at the core of what R does.

Given this, many people are disappointed when they struggle to figure out how to do inferential statistics with R. They say, “I know how to do a t-test in SPSS, I just want to do the same thing in R!” Sound familiar? If so, this course is designed for you.

This course won’t teach you to do fancy modeling, machine learning, or any other type of analysis currently en vogue. It will, however, teach you everything you need to know to do the core set of statistical tests that probably make up the majority of your work. In addition to t-tests, you’ll learn to do ANOVA, chi-square, correlation, regression, and more.

If learning to do inferential stats has been the barrier to you moving to R, this course can be the guide you need to make the switch. The time you invest in the course will repay itself tenfold, as you stop paying for expensive software and embrace the free (and more powerful!) alternative: R.

Inferential Statistics with R

21 Lessons (2h 01m) • 151 Students Enrolled

Dana Linnell By Dana Linnell

Course Includes

  • Certificate
  • Self-Paced
  • Lifetime Access

50% discount for:

Students
Low-income locations

25% discount for:

Groups of 3 or more

Bundle Discounts

Buy multiple courses at the same time for a discount.

2 Courses

20% off

3 Courses

25% off

4 Courses

30% off

5+ Courses

35% off

Cannot be combined with any other discount.

Course Content

21 Lessons (2h 01m)

Dana Linnell

Dana Linnell

LinkedIn

About the Instructor

This course is taught by Dana Linnell, Assistant Professor in the Psychology Department at the University of Wisconsin, Stout. An avid R user, Dana has extensive experience in advanced statistical techniques. She is well-versed in such techniques as exploratory and confirmatory factor analysis, structural equation modeling, multilevel modeling, and more.

What People Say

“

I have attended a few R courses, some of which were well taught, but nowhere near as practical as yours. I'll certainly continue subscribing and be considering your future courses.

Rod Ling
Rod Ling Data Analyst
“

Good quick overview. I'm likely to take more courses from them in the near future. The mapping course looks very interesting.

David Wormuth
“

I consider myself lucky as I found Mr. David's courses in R. I loved every single tutorial in this course. What I love most about this course is that it teaches you bit by bit and step by step, literally from zero to hero. I'll recommend these tutorials to anyone interested in R programming. I'll take the next course, "Going Deeper with R." I have no intention of stopping until I finish every tutorial on this website. Thank you so much, Mr. David. I owe you a lot. Greetings from Egypt.

Muhammed Elhadedy
Muhammed Elhadedy Nephrology Consultant
“

I had taken an introductory R course with R for the Rest of Us before, so I knew what was possible. Since the beginning of this project, we decided to approach David and team to automate a process that would have otherwise been cumbersome and more prone to error. In addition, the high-quality graphics, layout, and overall data visualization support was an added bonus that we very much appreciated. Ultimately, the automated process allowed us to create high-quality, accurate reports for all U.S. states, Washington D.C. and Puerto Rico that will inform census advocates as they learn from the 2020 experience and prepare to support an accurate and fair 2030 Census.

Juan Clavijo
Juan Clavijo Senior Consultant, ORS Impact
“

I've been dipping my toes in the R water for many years, your site and approach has been the most accessible and useful by far!

Bohdanna Kinasevych
Bohdanna Kinasevych Leading4Impact
“

It’s like I’ve broken through a wall that had been stopping me [from learning R]!

“

R for the Rest of Us is such a helpful platform to get started in R or to improve your knowledge and skills in R! The courses are well-structured and paced. Looking forward to continuing my R learning journey!

Hatem Kotb
Hatem Kotb Product Manager & Data Analyst
“

Started today with the "Getting started with R" course and although being already a not-so-bad R user clarity and some helpful tricks proved really great. Looking forward to attend the other courses. Thank you!

Tobia Dondè -
“

This was a very nice course. The explanations and examples were very good and were explained carefully and thoroughly. Well done.

Mike LeVan
Mike LeVan Associate Professor of Mathematics,

FAQs

Are there any prerequisites for this course?

You should be familiar with two things before taking this course:

  1. The fundamentals of the tidyverse (see the content in the Fundamentals of R course).

  2. How inferential statistics course work. This course assumes you know what a t-test is. It is focused on showing you how to do a t-test (and much more!) in R.

Can I get a refund if I’m not satisfied?

Absolutely! If you are unsatisfied with the course for any reason, contact me and I will give you a full refund, no questions asked.

Is this course live or self-paced?

It is entirely self-paced, giving you the freedom to learn whenever and wherever you’d like to.

Does my access to the material expire at any point?

Nope! Sign up now and you’ll have access to the course forever.

Get Lifetime Access

for $99