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

IBM
IBM Applied DevOps Engineering
Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Agile Software Development, Kubernetes, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Code Coverage, Cloud-Native Computing, OpenShift, Cloud Applications, Containerization, Agile Methodology, Behavior-Driven Development, Serverless Computing, DevOps, Secure Coding
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
7.1K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Data Science: Statistics and Machine Learning
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Correlation Analysis, Data Science, Data Analysis
4.4
Rating, 4.4 out of 5 stars
7.2K reviews
Intermediate · Specialization · 3 - 6 Months
Amazon Web Services
AWS Cloud Support Associate
Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Command-Line Interface, Amazon CloudWatch, AWS CloudFormation, Root Cause Analysis, Amazon DynamoDB, Network Troubleshooting, Amazon Web Services, Customer Relationship Management, Software Architecture, IT Automation, Linux Commands, Cloud Computing, Linux, Amazon S3, Scalability, Scripting, Cloud Infrastructure, Web Applications
4.8
Rating, 4.8 out of 5 stars
6.3K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Virginia
Entrepreneurship: Growing Your Business
Skills you'll gain: Financial Statements, Financial Accounting, Balance Sheet, Financial Reporting, Financial Statement Analysis, Design Thinking, Annual Reports, Innovation, Process Design, Accrual Accounting, Business Modeling, Income Statement, Business Process, Courage, Business Strategies, Leadership Development, Professional Development, Business Ethics, Organizational Leadership, Initiative and Leadership
4.8
Rating, 4.8 out of 5 stars
7.6K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Generative AI for Data Analysts
Skills you'll gain: Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Dashboard, Data Ethics, Artificial Intelligence, IBM Cloud, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Software Development Tools, Data Cleansing, Augmented and Virtual Reality (AR/VR), Deep Learning, Image Analysis, Technical Communication
4.7
Rating, 4.7 out of 5 stars
6K reviews
Intermediate · Specialization · 1 - 3 Months
Meta
Meta Database Engineer
Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, MySQL Workbench, Extract, Transform, Load, Stored Procedure, Data Modeling, Data Structures, SQL, Database Theory, Unix Commands, Relational Databases, Databases, Git (Version Control System), Object Oriented Programming (OOP), Database Management, Unit Testing, Algorithms, Django (Web Framework)
4.6
Rating, 4.6 out of 5 stars
7K reviews
Beginner · Professional Certificate · 3 - 6 Months
Google
Analyze Data to Answer Questions
Skills you'll gain: Data Validation, Spreadsheet Software, Data Analysis, Data Synthesis, Analytics, Data Manipulation, Excel Formulas, Query Languages, Data Compilation, Pivot Tables And Charts, Data Quality, SQL, Data Integration, Data Transformation, Constructive Feedback
4.6
Rating, 4.6 out of 5 stars
12K reviews
Beginner · Course · 1 - 4 Weeks
Stanford University
Algorithms
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Computational Thinking, Network Analysis, Network Routing, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies, Computer Science
4.8
Rating, 4.8 out of 5 stars
5.9K reviews
Intermediate · Specialization · 3 - 6 Months
Coursera Project Network
Getting Started with Rstudio
Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting
4.6
Rating, 4.6 out of 5 stars
141 reviews
Beginner · Guided Project · Less Than 2 Hours
Johns Hopkins University
Introduction to Neurohacking In R
Skills you'll gain: Image Analysis, Data Manipulation, R Programming, Data Processing, Scientific Visualization, Data Transformation, Data Visualization Software, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
311 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
IBM
Generative AI for Mobile App Developers
Skills you'll gain: ChatGPT, Generative AI, Mobile Development, OpenAI, CI/CD, Software Development, Apple iOS, Software Development Life Cycle, DevSecOps, Data Ethics, Application Development, Natural Language Processing, Cloud Development, Prototyping, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, IBM Cloud, Software Development Tools, Image Analysis
4.7
Rating, 4.7 out of 5 stars
6K reviews
Advanced · Specialization · 1 - 3 Months
DeepLearning.AI
Mathematics for Machine Learning and Data Science
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science
4.6
Rating, 4.6 out of 5 stars
2.7K reviews
Intermediate · Specialization · 1 - 3 Months