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