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

Explore the R Course Catalog

Status: Free Trial
University of Illinois Urbana-Champaign
Introduction to Business Analytics with R
Skills you'll gain: Tidyverse (R Package), Data Processing, Business Analytics, Data Transformation, Business Intelligence, Data Manipulation, Data Management, R Programming, Data Presentation, Data Analysis, Statistical Programming, Technical Communication, Data-Driven Decision-Making
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
285 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Calculating Descriptive Statistics in R
Skills you'll gain: Descriptive Statistics, Data Analysis, Box Plots, R Programming, Statistical Analysis, Histogram, Probability & Statistics, Data Manipulation
4.8
Rating, 4.8 out of 5 stars
52 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Introduction to R: Basic R syntax
Skills you'll gain: R Programming, Statistical Programming, Development Environment, Programming Principles, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
46 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
IBM
Data Science with R - Capstone Project
Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, Statistical Modeling, R Programming, Regression Analysis, Ggplot2, Data Transformation, Web Scraping, SQL
4.6
Rating, 4.6 out of 5 stars
95 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Duke University
Data Visualization and Transformation with R
Skills you'll gain: Version Control, Ggplot2, R Programming, GitHub, Data Visualization Software, Data Visualization, Statistical Methods, Git (Version Control System), Tidyverse (R Package), Exploratory Data Analysis, Data Analysis, Data Science, Data Transformation, Data-Driven Decision-Making, Statistical Programming, Statistical Analysis, Data Manipulation, Data Cleansing
4.7
Rating, 4.7 out of 5 stars
11 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Imperial College London
Logistic Regression in R for Public Health
Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Feature Engineering, Statistical Inference, Data Analysis Software, Public Health
4.8
Rating, 4.8 out of 5 stars
364 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Data Visualization in R with ggplot2
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software
4.9
Rating, 4.9 out of 5 stars
127 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Michigan
Arranging and Visualizing Data in R
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Tidyverse (R Package), Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Statistical Reporting, Scripting, Package and Software Management, Data Import/Export
5
Rating, 5 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Advanced Data Visualization with R
Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Plot (Graphics), Statistical Visualization, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations
4.9
Rating, 4.9 out of 5 stars
79 reviews
Mixed · Course · 1 - 4 Weeks
Packt
R Programming for Statistics and Data Science
Skills you'll gain: R Programming, Statistical Hypothesis Testing, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Statistical Inference, Probability & Statistics
4.5
Rating, 4.5 out of 5 stars
6 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
The Data Scientist’s Toolbox
Skills you'll gain: Rmarkdown, Version Control, Data Science, Big Data, Git (Version Control System), GitHub, Data Analysis, R Programming, Statistical Programming, Development Environment, Integrated Development Environments, Software Installation
4.6
Rating, 4.6 out of 5 stars
34K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Imperial College London
Linear Regression in R for Public Health
Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Methods, Probability & Statistics, Biostatistics, Epidemiology, Data Import/Export
4.8
Rating, 4.8 out of 5 stars
520 reviews
Intermediate · Course · 1 - 4 Weeks