What skills can I learn in R programming courses on Coursera?

R programming courses on Coursera offer learners an opportunity to master a wide array of skills essential for data analysis , statistical computing, and graphical representation, including: Fundamentals of R syntax and programming environment Data manipulation and cleaning techniques using R packages like dplyr and tidyr Statistical analysis and model building to interpret complex data sets Creating compelling visualizations with ggplot2 and other visualization tools Developing reproducible reports and interactive web apps with R Markdown and Shiny Applying R in various domains such as finance, healthcare, and academic research

Do I need prior experience in programming to enroll in these R courses?

Coursera’s R programming courses are designed to welcome learners at different levels of expertise: No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts. Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills. Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.

Do I need prior experience in programming to enroll in these R courses?

Coursera’s R programming courses are designed to welcome learners at different levels of expertise: No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts. Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills. Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.

What certifications and credentials can I earn by studying R programming on Coursera?

Engaging in R programming courses on Coursera can lead to several forms of recognition that highlight your skills and dedication: Course Certificates: These certificates demonstrate your success in individual R programming courses, showcasing your skills in specific aspects of the language. Professional Certificates: Obtain these by completing a series of courses that prepare you for data analysis and statistical roles using R. Specializations: Deepen your proficiency with comprehensive course sequences that focus on specific areas such as statistical analysis, machine learning, or advanced data visualization with R.

How can I purchase R programming training courses for my team?

Looking to enhance your team's R programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our R programming training options and make a purchase, please visit our Coursera for Teams page.

Top R Courses - Learn R Online

Browse
R

R Courses

R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.

Popular R Courses and Certifications

Status: Free Trial
Google
Data Analysis with R Programming
Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Data Visualization, Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Data Import/Export, Package and Software Management
4.8
Rating, 4.8 out of 5 stars
12K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
R Programming
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Programming Principles, Data Structures, Performance Tuning, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
22K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Data Analysis with R
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Methods, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Correlation Analysis, Data Visualization
4.7
Rating, 4.7 out of 5 stars
7.6K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Introduction to R Programming for Data Science
Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments
4.5
Rating, 4.5 out of 5 stars
586 reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Preview
Microsoft
The R Programming Starter Course
Skills you'll gain: Debugging, R Programming, Data Structures, Microsoft Development Tools, Software Documentation, Programming Principles, Program Development, Development Environment, Data Manipulation, Integrated Development Environments, Scripting Languages, Scripting
Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Status: Free Trial
IBM
Data Analysis with R
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, R Programming, Data Manipulation, Data Visualization, Predictive Analytics, Statistical Analysis, Data Science, Regression Analysis, Predictive Modeling, Statistical Modeling, Feature Engineering, Machine Learning Methods
4.7
Rating, 4.7 out of 5 stars
343 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
Applied Data Science with R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Data Presentation, SQL, Plot (Graphics), Databases, Leaflet (Software), Data Manipulation, Web Scraping, R Programming
4.5
Rating, 4.5 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Data Visualization & Dashboarding with R
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Data Manipulation, Data Science, Data Analysis
4.8
Rating, 4.8 out of 5 stars
441 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Imperial College London
Statistical Analysis with R for Public Health
Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistics, Public Health, Statistical Inference, Probability & Statistics, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
2.1K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
IBM Data Analytics with Excel and R
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Dashboard, Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Microsoft Excel, IBM Cognos Analytics, Ggplot2, Data Analysis, Analytical Skills, Excel Formulas, Data Manipulation, Web Scraping
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
31K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: New
Status: Free Trial
Microsoft
Microsoft R Programming for Everyone
Skills you'll gain: Rmarkdown, Version Control, Web Scraping, Regression Analysis, Knitr, Exploratory Data Analysis, Statistical Analysis, Data Manipulation, Dimensionality Reduction, Ggplot2, Geospatial Information and Technology, Time Series Analysis and Forecasting, Plotly, Microsoft Azure, Data Cleansing, Data Visualization, Data Wrangling, Software Documentation, R Programming, Microsoft Copilot
4.5
Rating, 4.5 out of 5 stars
6 reviews
Beginner · Professional Certificate · 3 - 6 Months

Searches related to r

real estate financial modeling

real estate

reinforcement learning

In summary, here are 10 of our most popular r courses

Data Analysis with R Programming: Google
R Programming: Johns Hopkins University
Data Science: Foundations using R: Johns Hopkins University
Data Analysis with R: Duke University
Introduction to R Programming for Data Science: IBM
The R Programming Starter Course: Microsoft
Data Analysis with R: IBM
Applied Data Science with R: IBM
Data Visualization & Dashboarding with R: Johns Hopkins University
Statistical Analysis with R for Public Health: Imperial College London

Skills you can learn in Data Analysis

Analytics (85)

Big Data (64)

Python Programming (47)

Business Analytics (40)

R Programming (37)

Statistical Analysis (36)

Sql (33)

Data Model (29)

Data Mining (27)

Exploratory Data Analysis (26)

Data Modeling (21)

Data Manipulation (20)

Frequently Asked Questions about R

R programming courses on Coursera offer learners an opportunity to master a wide array of skills essential for data analysis, statistical computing, and graphical representation, including:

Fundamentals of R syntax and programming environment
Data manipulation and cleaning techniques using R packages like dplyr and tidyr
Statistical analysis and model building to interpret complex data sets
Creating compelling visualizations with ggplot2 and other visualization tools
Developing reproducible reports and interactive web apps with R Markdown and Shiny
Applying R in various domains such as finance, healthcare, and academic research ‎

Coursera’s R programming courses are designed to welcome learners at different levels of expertise:

No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.‎

Coursera’s R programming courses are designed to welcome learners at different levels of expertise:

No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.‎

Engaging in R programming courses on Coursera can lead to several forms of recognition that highlight your skills and dedication:

Course Certificates: These certificates demonstrate your success in individual R programming courses, showcasing your skills in specific aspects of the language.
Professional Certificates: Obtain these by completing a series of courses that prepare you for data analysis and statistical roles using R.
Specializations: Deepen your proficiency with comprehensive course sequences that focus on specific areas such as statistical analysis, machine learning, or advanced data visualization with R. ‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.