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

Coursera Project Network
Data Analysis Using Pyspark
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Visualization, Data Analysis, Data Manipulation, Query Languages, Google Cloud Platform
4.5
Rating, 4.5 out of 5 stars
301 reviews
Intermediate · Guided Project · Less Than 2 Hours
University of Pennsylvania
Intellectual Property in the Healthcare Industry
Skills you'll gain: Intellectual Property, Healthcare Industry Knowledge, Pharmaceuticals, Health Care Procedure and Regulation, Regulation and Legal Compliance, Legal Strategy, Medical Privacy, Health Policy, Medical Science and Research, Branding, Economics, Policy Analysis
4.8
Rating, 4.8 out of 5 stars
138 reviews
Beginner · Course · 1 - 4 Weeks
Erasmus University Rotterdam
Multilevel Modeling
Skills you'll gain: R Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Statistical Analysis, Advanced Analytics, Data Modeling
3.9
Rating, 3.9 out of 5 stars
15 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Real-Time Embedded Systems
Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Reliability, Embedded Software, Performance Tuning, Systems Architecture, Hardware Architecture, Software Architecture, Verification And Validation, Software Design, Debugging, System Design and Implementation, Hardware Design, System Programming, Software Systems, Linux, Operating Systems, OS Process Management, Performance Testing, Software Documentation
Build toward a degree
3.9
Rating, 3.9 out of 5 stars
105 reviews
Intermediate · Specialization · 3 - 6 Months
Rice University
Algorithmic Thinking (Part 2)
Skills you'll gain: Computational Thinking, Algorithms, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis
4.7
Rating, 4.7 out of 5 stars
216 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
University of Colorado Boulder
Statistics and Data Analysis with R
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Analysis, Data Structures
Intermediate · Course · 1 - 3 Months
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
MathWorks
Exploratory Data Analysis with MATLAB
Skills you'll gain: Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Science, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting
4.8
Rating, 4.8 out of 5 stars
813 reviews
Beginner · Course · 1 - 3 Months
University of Colorado System
Introduction to C++ Programming and Unreal
Skills you'll gain: Unreal Engine, Object Oriented Programming (OOP), C++ (Programming Language), Debugging, Computer Programming, Video Game Development, Game Design, Development Environment, Software Documentation, Data Storage, Scripting
4.6
Rating, 4.6 out of 5 stars
174 reviews
Intermediate · Course · 1 - 4 Weeks
University of California San Diego
Comparing Genes, Proteins, and Genomes (Bioinformatics III)
Skills you'll gain: Bioinformatics, Molecular Biology, Algorithms, Computational Thinking, Computer Programming Tools, Biology
4.7
Rating, 4.7 out of 5 stars
136 reviews
Intermediate · Course · 1 - 3 Months
The Hong Kong University of Science and Technology
Numerical Methods for Engineers
Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms
4.9
Rating, 4.9 out of 5 stars
379 reviews
Intermediate · Course · 1 - 3 Months
Amazon Web Services
Developing Applications in Python on AWS
Skills you'll gain: Software Architecture, Amazon DynamoDB, Cloud Applications, Databases, Amazon Web Services, Event-Driven Programming, API Gateway, Relational Databases, Serverless Computing, Python Programming, Service Oriented Architecture, Microservices, Application Programming Interface (API), NoSQL, Application Development
4.6
Rating, 4.6 out of 5 stars
95 reviews
Beginner · Course · 1 - 4 Weeks