#
Best of Coursera

Top **R Programming** Courses

These are the **top 40 R Programming**
courses and offerings found from analyzing all discussions on
Reddit that mention any
Coursera course.

#1

Data Science
Specialization

Foundations using R

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

Foundations using R

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

Johns Hopkins University

Jeff Leek, PhD

Jeff Leek, PhD

2 reddit posts

137 mentions

137 mentions

#2

Data Science
Specialization

Statistics and Machine Learning

Build models, make inferences, and deliver interactive data products.

Statistics and Machine Learning

Build models, make inferences, and deliver interactive data products.

Johns Hopkins University

Brian Caffo, PhD

Brian Caffo, PhD

0 reddit posts

53 mentions

53 mentions

#3

Data Science
Specialization

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

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

Johns Hopkins University

Jeff Leek, PhD

Jeff Leek, PhD

3 reddit posts

389 mentions

389 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...

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

Mine Çetinkaya-Rundel

4 reddit posts

107 mentions

107 mentions

#5

R Programming

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

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

Roger D. Peng, PhD

1 reddit posts

74 mentions

74 mentions

#6

Interaction Design
Specialization

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

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

University of California San Diego

Scott Klemmer

Scott Klemmer

3 reddit posts

84 mentions

84 mentions

#7

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.

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

Steven Salzberg, PhD

Steven Salzberg, PhD

2 reddit posts

78 mentions

78 mentions

#8

Methods and Statistics in Social Sciences
Specialization

Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.

Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.

University of Amsterdam

Annemarie Zand Scholten

Annemarie Zand Scholten

2 reddit posts

48 mentions

48 mentions

#9

Basic Statistics

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

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

University of Amsterdam

Matthijs Rooduijn

Matthijs Rooduijn

1 reddit posts

20 mentions

20 mentions

#10

The Data Scientist’s Toolbox

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox.

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

Jeff Leek, PhD

1 reddit posts

22 mentions

22 mentions

#11

Data Science at Scale
Specialization

Learn scalable data management, evaluate big data technologies, and design effective visualizations.

Learn scalable data management, evaluate big data technologies, and design effective visualizations.

University of Washington

Bill Howe

Bill Howe

1 reddit posts

119 mentions

119 mentions

#12

Practical Machine Learning

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

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

Johns Hopkins University

Jeff Leek, PhD

Jeff Leek, PhD

0 reddit posts

16 mentions

16 mentions

#13

Introduction to Probability and Data with R

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule.

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule.

Duke University

Mine Çetinkaya-Rundel

Mine Çetinkaya-Rundel

1 reddit posts

10 mentions

10 mentions

#14

Introduction to Neurohacking In R

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

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

Johns Hopkins University

Dr. Elizabeth Sweeney

Dr. Elizabeth Sweeney

2 reddit posts

8 mentions

8 mentions

#15

Getting and Cleaning Data

Before you can work with data you have to get some.

Before you can work with data you have to get some.

Johns Hopkins University

Jeff Leek, PhD

Jeff Leek, PhD

0 reddit posts

13 mentions

13 mentions

#16

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.

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

Frauke Kreuter, Ph.D.

Frauke Kreuter, Ph.D.

0 reddit posts

15 mentions

15 mentions

#17

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.

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

Roger D. Peng, PhD

0 reddit posts

13 mentions

13 mentions

#18

Reproducible Research

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

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

Johns Hopkins University

Roger D. Peng, PhD

Roger D. Peng, PhD

0 reddit posts

11 mentions

11 mentions

#19

Bayesian Statistics

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.

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

Herbert Lee

0 reddit posts

9 mentions

9 mentions

#20

Bayesian Statistics

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

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

Duke University

Mine Çetinkaya-Rundel

Mine Çetinkaya-Rundel

1 reddit posts

21 mentions

21 mentions

#21

Exploratory Data Analysis

This course covers the essential exploratory techniques for summarizing data.

This course covers the essential exploratory techniques for summarizing data.

Johns Hopkins University

Roger D. Peng, PhD

Roger D. Peng, PhD

0 reddit posts

11 mentions

11 mentions

#22

Inferential Statistics

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

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

Duke University

Mine Çetinkaya-Rundel

Mine Çetinkaya-Rundel

0 reddit posts

5 mentions

5 mentions

#23

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.

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

Nicolas Glady

Nicolas Glady

3 reddit posts

3 mentions

3 mentions

#24

Developing Data Products

A data product is the production output from a statistical analysis.

A data product is the production output from a statistical analysis.

Johns Hopkins University

Brian Caffo, PhD

Brian Caffo, PhD

0 reddit posts

6 mentions

6 mentions

#25

Bioconductor for Genomic Data Science

Learn to use tools from the Bioconductor project to perform analysis of genomic data.

Learn to use tools from the Bioconductor project to perform analysis of genomic data.

Johns Hopkins University

Kasper Daniel Hansen, PhD

Kasper Daniel Hansen, PhD

0 reddit posts

6 mentions

6 mentions

#26

Statistics for Genomic Data Science

An introduction to the statistics behind the most popular genomic data science projects.

An introduction to the statistics behind the most popular genomic data science projects.

Johns Hopkins University

Jeff Leek, PhD

Jeff Leek, PhD

0 reddit posts

6 mentions

6 mentions

#27

Practical Predictive Analytics

Models and Methods

Statistical experiment design and analytics are at the heart of data science.

Models and Methods

Statistical experiment design and analytics are at the heart of data science.

University of Washington

Bill Howe

Bill Howe

0 reddit posts

9 mentions

9 mentions

#28

Linear Regression and Modeling

This course introduces simple and multiple linear regression models.

This course introduces simple and multiple linear regression models.

Duke University

Mine Çetinkaya-Rundel

Mine Çetinkaya-Rundel

0 reddit posts

4 mentions

4 mentions

#29

Bayesian Statistics

Techniques and Models

This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics.

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

Matthew Heiner

0 reddit posts

6 mentions

6 mentions

#30

Designing, Running, and Analyzing Experiments

You may never be sure whether you have an effective user experience until you have tested it with users.

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

Scott Klemmer

0 reddit posts

3 mentions

3 mentions

#31

The R Programming Environment

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.

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

Roger D. Peng, PhD

0 reddit posts

3 mentions

3 mentions

#32

Advanced Linear Models for Data Science 1

Least Squares

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares.

Least Squares

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares.

Johns Hopkins University

Brian Caffo, PhD

Brian Caffo, PhD

0 reddit posts

2 mentions

2 mentions

#33

Building Data Visualization Tools

The data science revolution has produced reams of new data from a wide variety of new sources.

The data science revolution has produced reams of new data from a wide variety of new sources.

Johns Hopkins University

Roger D. Peng, PhD

Roger D. Peng, PhD

0 reddit posts

2 mentions

2 mentions

#34

Advanced R Programming

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

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

Roger D. Peng, PhD

0 reddit posts

2 mentions

2 mentions

#35

Data Science Capstone

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.

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

Jeff Leek, PhD

0 reddit posts

1 mentions

1 mentions

#36

Building R Packages

Writing good code for data science is only part of the job.

Writing good code for data science is only part of the job.

Johns Hopkins University

Roger D. Peng, PhD

Roger D. Peng, PhD

0 reddit posts

1 mentions

1 mentions

#37

Big Data, Genes, and Medicine

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics.

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics.

The State University of New York

Isabelle Bichindaritz

Isabelle Bichindaritz

0 reddit posts

1 mentions

1 mentions

#38

Introducción a Data Science

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.

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

Carlos Ernesto López Natarén

1 reddit posts

0 mentions

0 mentions

#39

Experimentation for Improvement

We are always using experiments to improve our lives, our community, and our work.

We are always using experiments to improve our lives, our community, and our work.

McMaster University

Kevin Dunn

Kevin Dunn

0 reddit posts

1 mentions

1 mentions

#40

Infectious Disease Modelling
Specialization

Mathematical modelling is increasingly being used to support public health decision-making in the control of infectious diseases.

Mathematical modelling is increasingly being used to support public health decision-making in the control of infectious diseases.

Imperial College London

Nimalan Arinaminpathy

Nimalan Arinaminpathy

0 reddit posts

1 mentions

1 mentions