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

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
256 reviews
Beginner · Course · 1 - 4 Weeks
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
174 reviews
Beginner · Course · 1 - 3 Months
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
Johns Hopkins University
Mastering Software Development in R
Skills you'll gain: Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, R Programming, Object Oriented Programming (OOP), GitHub, Version Control, Rmarkdown, Cross Platform Development, Data Cleansing, Debugging, Data Science, Software Documentation, Maintainability, Big Data, Functional Design, Data Analysis Software, Programming Principles
4.2
Rating, 4.2 out of 5 stars
1.5K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Advanced R Programming
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Data Analysis Software, Programming Principles, Data Structures, Computational Thinking, Software Development, Performance Tuning
4.2
Rating, 4.2 out of 5 stars
574 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Duke University
Data Science with R
Skills you'll gain: Data Ethics, Ggplot2, R Programming, Web Scraping, GitHub, Data Visualization Software, Data Visualization, Git (Version Control System), Statistics, Data Wrangling, Tidyverse (R Package), Exploratory Data Analysis, 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
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, Scatter Plots, Political Sciences, Public Administration
4.8
Rating, 4.8 out of 5 stars
73 reviews
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Data Science
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
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, Probability & Statistics, Biostatistics, Scatter Plots
4.8
Rating, 4.8 out of 5 stars
518 reviews
Intermediate · Course · 1 - 4 Weeks
Status: AI skills
IBM
IBM Full Stack Software Developer
Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Unit Testing, Object-Relational Mapping, Cloud Computing Architecture, Server Side, Application Deployment, React Redux, Kubernetes, Cloud Services, OpenShift, Git (Version Control System), Cloud Applications, Full-Stack Web Development, HTML and CSS, Cloud Computing, Jupyter, Generative AI, Interviewing Skills
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
54K reviews
Beginner · Professional Certificate · 3 - 6 Months
Coursera Project Network
Data Analysis in R: Predictive Analysis with Regression
Skills you'll gain:
4.2
Rating, 4.2 out of 5 stars
12 reviews
Intermediate · Guided Project · Less Than 2 Hours
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
49 reviews
Beginner · Specialization · 1 - 3 Months