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
Arranging and Visualizing Data in R
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Tidyverse (R Package), Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Statistical Reporting, Scripting, Package and Software Management, Data Import/Export, Software Installation
5
Rating, 5 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
Google
Tools of the Trade: Linux and SQL
Skills you'll gain: Bash (Scripting Language), Linux Commands, Command-Line Interface, Operating Systems, SQL, Linux, Cybersecurity, Linux Administration, Databases, Computer Hardware, Relational Databases, File Systems, User Accounts
4.8
Rating, 4.8 out of 5 stars
5.1K reviews
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Business Analytics
Skills you'll gain: Data Storytelling, Extract, Transform, Load, Marketing Analytics, Data Visualization, Data Presentation, Regression Analysis, Alteryx, Infographics, Data Collection, Interactive Data Visualization, Data Quality, Tidyverse (R Package), R Programming, Data Visualization Software, Data Processing, Network Analysis, Business Analytics, Internal Controls, Exploratory Data Analysis, Robotic Process Automation
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
1.1K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Object-Oriented Programming in Python
Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Python Programming, Software Design Patterns, Simulations
4.3
Rating, 4.3 out of 5 stars
15 reviews
Beginner · Guided Project · Less Than 2 Hours
Imperial College London
Mathematics for Machine Learning: Linear Algebra
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
4.7
Rating, 4.7 out of 5 stars
12K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Introduction to HTML5
Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Web Content Accessibility Guidelines, Usability, Web Development, Semantic Web, Cloud Hosting, Web Servers, Data Validation
4.7
Rating, 4.7 out of 5 stars
28K reviews
Beginner · Course · 1 - 4 Weeks
Sungkyunkwan University
The Fundamental of Data-Driven Investment
Skills you'll gain: Portfolio Management, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Financial Data, Statistical Programming, Risk Management, Equities, Forecasting, Regression Analysis, Data Manipulation
4.4
Rating, 4.4 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
University of California San Diego
Designing, Running, and Analyzing Experiments
Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, Usability, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, UI/UX Research, R Programming, User Experience, Research Design, Probability & Statistics, Human Computer Interaction, Statistical Modeling, Regression Analysis
3.6
Rating, 3.6 out of 5 stars
591 reviews
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Accelerated Computer Science Fundamentals
Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Data Storage, Computer Programming, Software Engineering, Algorithms, Data Storage Technologies, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Computational Thinking
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free
Stanford University
Cryptography I
Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Mathematical Software, Algorithms
4.8
Rating, 4.8 out of 5 stars
4.4K reviews
Mixed · Course · 1 - 3 Months
University of California San Diego
Introduction to Discrete Mathematics for Computer Science
Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Mathematical Theory & Analysis, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Computer Programming, Mathematical Modeling
4.5
Rating, 4.5 out of 5 stars
3.6K reviews
Beginner · Specialization · 3 - 6 Months
Meta
Introduction to Front-End Development
Skills you'll gain: HTML and CSS, Bootstrap (Front-End Framework), Responsive Web Design, Front-End Web Development, User Interface (UI), Hypertext Markup Language (HTML), Web Design and Development, Web Development, Web Applications, Cascading Style Sheets (CSS), React.js, Javascript
4.8
Rating, 4.8 out of 5 stars
12K reviews
Beginner · Course · 1 - 4 Weeks