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
Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript
Skills you'll gain: Data Structures, 3D Modeling, Computational Logic, Visualization (Computer Graphics), Design, Python Programming, Animations, Scripting, Computer Programming, Automation
4.9
Rating, 4.9 out of 5 stars
100 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Meta
Python Data Analytics
Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Data Processing, Matplotlib, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting
4.3
Rating, 4.3 out of 5 stars
201 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Dartmouth College
C Programming: Using Linux Tools and Libraries - 7
Skills you'll gain: C (Programming Language), Linux, Embedded Systems, System Programming, Build Tools, Command-Line Interface, Operating Systems, Program Development, Software Installation, Development Environment, Application Development, File Systems
4.7
Rating, 4.7 out of 5 stars
27 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
RStudio for Six Sigma - Basic Descriptive Statistics
Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis
4.7
Rating, 4.7 out of 5 stars
64 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
IBM
Information Technology (IT) Fundamentals for Everyone
Skills you'll gain: Information Technology, Computer Hardware, Cloud Computing, Network Troubleshooting, Software Installation, Technical Support and Services, Cybersecurity, Hardware Troubleshooting, Data Storage, Database Software, Operating Systems, Computer Networking, Computer Security Awareness Training, IT Infrastructure
4.7
Rating, 4.7 out of 5 stars
205 reviews
Beginner · Course · 1 - 3 Months
IBM
COBOL Programming with VSCode
Skills you'll gain: COBOL (Programming Language), Integrated Development Environments, IBM Cloud, Mainframe Computing, Programming Principles, Computer Programming Tools, Development Environment, Data Management, Debugging, File Management
4.7
Rating, 4.7 out of 5 stars
187 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
JavaScript Programming Essentials
Skills you'll gain: Ajax, Javascript, Data Structures, Debugging, JSON, Scripting, Web Development, Web Applications, HTML and CSS, Object Oriented Programming (OOP), Git (Version Control System), Application Programming Interface (API)
4.6
Rating, 4.6 out of 5 stars
139 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
The Linux Foundation
Linux Tools for Developers
Skills you'll gain: Bash (Scripting Language), File Systems, Package and Software Management, Linux, Command-Line Interface, Unix Commands, Linux Commands, Shell Script, Linux Administration, Unix Shell, Scripting, Software Development Tools, File Management, Unix, Program Development, Operating Systems, Java, C and C++, Debugging
4.6
Rating, 4.6 out of 5 stars
730 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Universidad de los Andes
Introducción a la ciencia de datos aplicada
Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking
4.7
Rating, 4.7 out of 5 stars
400 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Microsoft
Microsoft Azure SQL
Skills you'll gain: Database Systems, Microsoft Azure, Databases, Relational Databases, MySQL, SQL, Database Management, Cloud Services, PostgreSQL, Data Storage Technologies, Data Security
4.6
Rating, 4.6 out of 5 stars
253 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
NLP: Twitter Sentiment Analysis
Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Applied Machine Learning, Supervised Learning
4.6
Rating, 4.6 out of 5 stars
366 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: New
Status: Free Trial
Duke University
Programming for Python Data Science: Principles to Practice
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Computational Thinking, Predictive Modeling, Data Cleansing, Data Structures, Data Visualization Software, Visualization (Computer Graphics), Debugging, Data Analysis, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Statistical Methods, Program Development
3.8
Rating, 3.8 out of 5 stars
70 reviews
Beginner · Specialization · 3 - 6 Months