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

Johns Hopkins University
Mastering Software Development in R
Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Datamaps, Data Cleansing, Interactive Data Visualization, Scatter Plots, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design
4.2
Rating, 4.2 out of 5 stars
1.5K reviews
Beginner · Specialization · 3 - 6 Months
IBM
SQL for Data Science with R
Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Access
4.3
Rating, 4.3 out of 5 stars
171 reviews
Beginner · Course · 1 - 3 Months
IBM
Data Visualization with R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Dashboard, Statistical Visualization, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, UI Components, Server Side, Application Deployment
4.6
Rating, 4.6 out of 5 stars
253 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Data Analytics in the Public Sector with R
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Statistical Analysis, Ggplot2, Program Evaluation, Policy Analysis, Data Ethics, Survey Creation, Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Public Policies, Data Visualization Software, Statistical Hypothesis Testing, Analytical Skills, Scatter Plots, Political Sciences
4.8
Rating, 4.8 out of 5 stars
72 reviews
Intermediate · Specialization · 3 - 6 Months
Duke University
Data Science with R
Skills you'll gain: Data Ethics, Version Control, Ggplot2, R Programming, Web Scraping, GitHub, Data Visualization Software, Data Visualization, Statistical Methods, Git (Version Control System), Data Wrangling, Tidyverse (R Package), Data Manipulation, Data Integrity, Data Import/Export, Data Collection, Data Cleansing, Data Presentation, Research, Data Science
4.8
Rating, 4.8 out of 5 stars
10 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free
Coursera Project Network
Build and deploy a stroke prediction model using R
Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data Processing, Application Deployment, Data Import/Export, Machine Learning
4.4
Rating, 4.4 out of 5 stars
16 reviews
Intermediate · Guided Project · Less Than 2 Hours
Johns Hopkins University
Getting Started with Data Visualization in R
Skills you'll gain: Rmarkdown, Data Visualization, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Data Processing, Data Management
4.7
Rating, 4.7 out of 5 stars
287 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Advanced Data Visualization with R
Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Statistical Visualization, Geospatial Information and Technology, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Wrangling, Correlation Analysis
4.9
Rating, 4.9 out of 5 stars
78 reviews
Mixed · Course · 1 - 4 Weeks
Duke University
Introduction to Probability and Data with R
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Expressway to Data Science: R Programming and Tidyverse
Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Statistical Visualization, Data Analysis, Statistical Reporting, Data Manipulation, Data Visualization Software, Data Science, Data Wrangling, Relational Databases, Data Transformation, Data Cleansing, Statistical Programming, Data Integration, Software Installation, Development Environment
4.1
Rating, 4.1 out of 5 stars
48 reviews
Beginner · Specialization · 1 - 3 Months
Johns Hopkins University
Tidyverse Skills for Data Science in R
Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Statistical Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation
4.5
Rating, 4.5 out of 5 stars
102 reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Calculating Descriptive Statistics in R
Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Statistical Methods, Probability & Statistics
4.8
Rating, 4.8 out of 5 stars
52 reviews
Beginner · Guided Project · Less Than 2 Hours