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

University of Michigan
Building Database Applications in PHP
Skills you'll gain: PHP (Scripting Language), MySQL, Database Application, Database Development, Object Oriented Programming (OOP), Authentications, Web Applications, SQL, Server Side, Application Security
4.8
Rating, 4.8 out of 5 stars
1.1K reviews
Intermediate · Course · 1 - 3 Months
MathWorks
Image Processing for Engineering and Science
Skills you'll gain: Image Analysis, Matlab, Computer Vision, Automation, Anomaly Detection, Spatial Data Analysis, Medical Imaging, Spatial Analysis, Quantitative Research, Graphical Tools, Data Access, Data Import/Export, Data Store
4.8
Rating, 4.8 out of 5 stars
207 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free
Stanford University
How Software Ate Finance
Skills you'll gain: FinTech, Payment Systems, Financial Services, Financial Market, Capital Markets, Financial Trading, Asset Management, Consumer Lending, Retail Banking, Banking, Financial Regulation, Investment Management, Digital Assets, Technology Strategies, Risk Management
4.7
Rating, 4.7 out of 5 stars
155 reviews
Mixed · Course · 1 - 3 Months
Duke University
DevOps, DataOps, MLOps
Skills you'll gain: MLOps (Machine Learning Operations), Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Rust (Programming Language), DevOps, Applied Machine Learning, Cloud Solutions, CI/CD, Python Programming, Serverless Computing, Application Frameworks, Docker (Software), Generative AI Agents, GitHub, Command-Line Interface
4.1
Rating, 4.1 out of 5 stars
164 reviews
Advanced · Course · 1 - 3 Months
Codio
C++ Basics: Selection and Iteration
Skills you'll gain: Programming Principles, C++ (Programming Language), Computer Programming, Integrated Development Environments, Pseudocode
4.6
Rating, 4.6 out of 5 stars
928 reviews
Beginner · Course · 1 - 4 Weeks
University of California San Diego
Big Data Integration and Processing
Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL, PostgreSQL
4.4
Rating, 4.4 out of 5 stars
2.4K reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Understanding Basic SQL Syntax
Skills you'll gain: SQL, Query Languages, Data Access, Relational Databases, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
295 reviews
Beginner · Guided Project · Less Than 2 Hours
Google Cloud
Building Resilient Streaming Analytics Systems on Google Cloud
Skills you'll gain: Real Time Data, Data Pipelines, Google Cloud Platform, Data Processing, Big Data, Analytics, SQL, Data Transformation, Performance Tuning, Scalability
4.6
Rating, 4.6 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming
4.4
Rating, 4.4 out of 5 stars
186 reviews
Intermediate · Course · 1 - 3 Months
Kennesaw State University
Six Sigma Advanced Analyze Phase
Skills you'll gain: Statistical Hypothesis Testing, Six Sigma Methodology, Lean Six Sigma, Process Improvement, Process Analysis, Statistical Methods, Statistical Analysis, Statistics, Data Analysis, Analytical Skills, Variance Analysis
4.8
Rating, 4.8 out of 5 stars
950 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Introduction to Concurrent Programming with GPUs
Skills you'll gain: C and C++, System Programming, Computer Hardware, Computer Architecture, Software Development, Computer Programming, Algorithms, Python Programming, Development Environment, Debugging
2.6
Rating, 2.6 out of 5 stars
108 reviews
Beginner · Course · 1 - 3 Months
Google Cloud
Introduction to AI and Machine Learning on Google Cloud
Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Platforms, Large Language Modeling, Machine Learning, Natural Language Processing, Application Programming Interface (API)
4.7
Rating, 4.7 out of 5 stars
226 reviews
Beginner · Course · 1 - 3 Months