What is R programming?

R programming is the use of the R computer language for statistical analysis and graphic presentation. R is commonly used in business and research computing environments to analyze and visualize data, then create reports that can be used for decision making. R programming is increasingly more important given the expansion of big data for analysis.

Why learn R programming?

It's important to learn R programming if you want to be able to build computer programs that wrangle data and convert it into usable information. Organizations often have large amounts of data but are unable to understand what it means. Using programs written by R, you can generate Bayesian statistics and graphic analysis for business analytics, public health, and medical research, among other industries. Learning R is a component of learning data science, so another reason to study R programming is to get some of the fundamentals completed before venturing deeper into computer science studies.

What are typical careers that use R programming?

Typical careers that use R programming are in business analytics, financial services, and medical research. It is also a skill used in many data science roles. R programming pulls out information from large sets of data, so any field that calls for statistical inference from big data needs competent R programmers to create the analytics and reports needed. Some experience with R programming is useful for people who will be managing programming teams or requesting reports made from programs written in R. As big data analysis becomes more important in more fields, R programming becomes more valuable in the workplace.

How can online courses help me learn R programming?

Online courses can help you learn R programming by introducing the fundamentals of the language, teaching how it connects to such industries as finance and health care, and offering projects that let you show what you have learned. Courses are offered at all levels, from beginning to advanced. Many of them set you up for further work in data science or allow you to earn a specialization or certificate.

What are the benefits of taking an online R Programming course?

Online R Programming courses offer a convenient and flexible way to enhance your knowledge or learn new R Programming skills. Choose from a wide range of R Programming courses offered by top universities and industry leaders tailored to various skill levels.

What R Programming courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in R Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top R Programming Courses - Learn R Programming Online

Explore the R Programming Course Catalog

Columbia University
Decision Making and Reinforcement Learning
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability & Statistics
4.3
Rating, 4.3 out of 5 stars
20 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Google Cloud
Serverless Data Processing with Dataflow: Foundations
Skills you'll gain: Dataflow, Serverless Computing, Identity and Access Management, Data Pipelines, Google Cloud Platform, Cloud Security, Data Processing, Data Security, Data Storage Technologies, Containerization
4.2
Rating, 4.2 out of 5 stars
89 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
LearnQuest
Introduction to Data Science and scikit-learn in Python
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures
3.7
Rating, 3.7 out of 5 stars
49 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Dashboard Development with Shiny: GenAI for Retail Analysis
Skills you'll gain: Shiny (R Package), Data Visualization, Interactive Data Visualization, Dashboard, Data Presentation, Data Visualization Software, R Programming, Data Wrangling, User Interface (UI) Design, Ggplot2, Data Manipulation, Data Integration, Web Applications, Data Import/Export
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
Johns Hopkins University
Introduction to the Tidyverse
Skills you'll gain: Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Ggplot2, File Management, Data Import/Export
4.4
Rating, 4.4 out of 5 stars
50 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Vanderbilt University
Scalable Microservices for Developers
Skills you'll gain: Microservices, Spring Boot, Spring Framework, IntelliJ IDEA, Java Programming, Restful API, Object Oriented Programming (OOP), Java, Application Deployment, Software Architecture, API Design, Integrated Development Environments, Scalability, Service Oriented Architecture, Web Applications, Software Testing, Unit Testing, Object-Relational Mapping, Distributed Computing, Computer Programming
4.3
Rating, 4.3 out of 5 stars
50 reviews
Intermediate · Specialization · 1 - 3 Months
Scrimba
HTML & CSS Crash Course
Skills you'll gain: HTML and CSS, Responsive Web Design, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), File Management, Web Design, Front-End Web Development, Web Development
4.8
Rating, 4.8 out of 5 stars
47 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Universidad Nacional Autónoma de México
Razonamiento artificial
Skills you'll gain: Bayesian Network, Computational Logic, Markov Model, Artificial Intelligence, Game Theory, Python Programming, Deductive Reasoning, Probability, Verification And Validation, Mathematical Modeling, Algorithms
4.1
Rating, 4.1 out of 5 stars
108 reviews
Intermediate · Course · 1 - 3 Months
Starweaver
Introduction to Automotive Embedded Systems
Skills you'll gain: Embedded Systems, Electronic Systems, Cybersecurity, Automation, Electronics, Control Systems, Internet Of Things, Software Development, Real-Time Operating Systems, Systems Integration, Artificial Intelligence
4.4
Rating, 4.4 out of 5 stars
24 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of California San Diego
Basic Data Processing and Visualization
Skills you'll gain: Data Processing, Data Manipulation, Interactive Data Visualization, Web Scraping, Data Visualization Software, Pandas (Python Package), Data Science, Data Cleansing, Matplotlib, Data Import/Export, NumPy, Jupyter, JSON, Python Programming
4.3
Rating, 4.3 out of 5 stars
196 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Icahn School of Medicine at Mount Sinai
Dynamical Modeling Methods for Systems Biology
Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Logic, Applied Mathematics, Molecular Biology, Simulations, Statistical Modeling, Biochemistry, Biology, Probability, Electrical Systems
4.7
Rating, 4.7 out of 5 stars
220 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Statistics and Data Analysis with Excel, Part 1
Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis
4.7
Rating, 4.7 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months