Best of Coursera
Top R Programming Courses

#1

Data Science Specialization
Ask the right questions, manipulate data sets, and create visualizations to communicate results.

Johns Hopkins University
Roger D. Peng, PhD

11 reddit posts
633 mentions

#2

Data Science Specialization
Foundations using R
Ask the right questions, manipulate data sets, and create visualizations to communicate results.

Johns Hopkins University
Roger D. Peng, PhD

5 reddit posts
185 mentions

#3

Interaction Design Specialization
You will learn how to design technologies that bring people joy, rather than frustration.

University of California San Diego
Scott Klemmer

4 reddit posts
121 mentions

#4

Statistics with R Specialization
In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural ph...

Duke University
Mine Çetinkaya-Rundel

3 reddit posts
142 mentions

#5

R Programming Course
In this course you will learn how to program in R and how to use R for effective data analysis.

Johns Hopkins University
Roger D. Peng, PhD

2 reddit posts
125 mentions

#6

Data Science at Scale Specialization
Learn scalable data management, evaluate big data technologies, and design effective visualizations.

University of Washington
Bill Howe

4 reddit posts
52 mentions

#7

The Data Scientist’s Toolbox Course
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox.

Johns Hopkins University
Jeff Leek, PhD

1 reddit posts
28 mentions

#8

Practical Machine Learning Course
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning.

Johns Hopkins University
Jeff Leek, PhD

0 reddit posts
20 mentions

#9

Methods and Statistics in Social Sciences Specialization
Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.

University of Amsterdam
Matthijs Rooduijn

0 reddit posts
42 mentions

#10

Basic Statistics Course
Understanding statistics is essential to understand research in the social and behavioral sciences.

University of Amsterdam
Matthijs Rooduijn

0 reddit posts
18 mentions

#11

Data Science Specialization
Statistics and Machine Learning
Build models, make inferences, and deliver interactive data products.

Johns Hopkins University
Jeff Leek, PhD

0 reddit posts
50 mentions

#12

Getting and Cleaning Data Course
Before you can work with data you have to get some.

Johns Hopkins University
Jeff Leek, PhD

2 reddit posts
8 mentions

#13

Exploratory Data Analysis Course
This course covers the essential exploratory techniques for summarizing data.

Johns Hopkins University
Roger D. Peng, PhD

0 reddit posts
9 mentions

#14

Reproducible Research Course
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner.

Johns Hopkins University
Roger D. Peng, PhD

0 reddit posts
9 mentions

#15

Introduction to Probability and Data with R Course
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule.

Duke University
Mine Çetinkaya-Rundel

0 reddit posts
10 mentions

#16

Strategic Business Analytics Specialization
This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts.

ESSEC Business School
Arnaud De Bruyn

3 reddit posts
3 mentions

#17

Bayesian Statistics Course
From Concept to Data Analysis
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data.

University of California, Santa Cruz
Herbert Lee

0 reddit posts
9 mentions

#18

Introduction to Neurohacking In R Course
Neurohacking describes how to use the R programming language (https://cran.

Johns Hopkins University
Dr. Elizabeth Sweeney

2 reddit posts
6 mentions

#19

Bayesian Statistics Course
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates.

Duke University
Mine Çetinkaya-Rundel

1 reddit posts
6 mentions

#20

Survey Data Collection and Analytics Specialization
This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains.

University of Maryland, College Park
Frederick Conrad, Ph.D.

0 reddit posts
13 mentions

#21

Mastering Software Development in R Specialization
R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians.

Johns Hopkins University
Roger D. Peng, PhD

0 reddit posts
9 mentions

#22

Inferential Statistics Course
This course covers commonly used statistical inference methods for numerical and categorical data.

Duke University
Mine Çetinkaya-Rundel

0 reddit posts
7 mentions

#23

Experimentation for Improvement Course
We are always using experiments to improve our lives, our community, and our work.

McMaster University
Kevin Dunn

0 reddit posts
3 mentions

#24

Bayesian Statistics Course
Techniques and Models
This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics.

University of California, Santa Cruz
Matthew Heiner

0 reddit posts
6 mentions

#25

Linear Regression and Modeling Course
This course introduces simple and multiple linear regression models.

Duke University
Mine Çetinkaya-Rundel

0 reddit posts
4 mentions

#26

Designing, Running, and Analyzing Experiments Course
You may never be sure whether you have an effective user experience until you have tested it with users.

University of California San Diego
Scott Klemmer

0 reddit posts
3 mentions

#27

Developing Data Products Course
A data product is the production output from a statistical analysis.

Johns Hopkins University
Brian Caffo, PhD

0 reddit posts
1 mentions

#28

Data Science Capstone Course
The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers.

Johns Hopkins University
Jeff Leek, PhD

0 reddit posts
1 mentions

#29

Advanced R Programming Course
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools.

Johns Hopkins University
Roger D. Peng, PhD

0 reddit posts
1 mentions

#30

Statistics for Genomic Data Science Course
An introduction to the statistics behind the most popular genomic data science projects.

Johns Hopkins University
Jeff Leek, PhD

0 reddit posts
3 mentions

#31

Building Data Visualization Tools Course
The data science revolution has produced reams of new data from a wide variety of new sources.

Johns Hopkins University
Roger D. Peng, PhD

0 reddit posts
1 mentions

#32

The R Programming Environment Course
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.

Johns Hopkins University
Roger D. Peng, PhD

0 reddit posts
2 mentions

#33

Bioconductor for Genomic Data Science Course
Learn to use tools from the Bioconductor project to perform analysis of genomic data.

Johns Hopkins University
Kasper Daniel Hansen, PhD

0 reddit posts
2 mentions

#34

Introducción a Data Science Course
Programación Estadística con R
Este curso te proporcionará las bases del lenguaje de programación estadística R, la lengua franca de la estadística, el cual te permitirá escribir programas que lean, manipulen y analicen datos cuantitativos.

Universidad Nacional Autónoma de México
Carlos Ernesto López Natarén

0 reddit posts
1 mentions

#35

Advanced Statistics for Data Science Specialization
Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work.

Johns Hopkins University
Brian Caffo, PhD

3 reddit posts
37 mentions

#36

Genomic Data Science Specialization
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets.

Johns Hopkins University
Mihaela Pertea, PhD

1 reddit posts
69 mentions

#37

Neuroscience and Neuroimaging Specialization
This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience.

Johns Hopkins University
Dr. Elizabeth Sweeney

2 reddit posts
14 mentions