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

Status: Free Trial
IBM
Developing Back-End Apps with Node.js and Express
Skills you'll gain: Node.JS, Server Side, Restful API, Back-End Web Development, JavaScript Frameworks, Cloud Applications, Web Applications, Application Programming Interface (API), Web Servers, Javascript, Authentications, Package and Software Management, JSON, Middleware
4.5
Rating, 4.5 out of 5 stars
525 reviews
Intermediate · Course · 1 - 4 Weeks
Genentech
Hands On Clinical Reporting Using R
Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Pharmaceuticals, Data Modeling, R Programming, Technical Communication, Data Analysis Software, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
9 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Algorithms for DNA Sequencing
Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences
4.7
Rating, 4.7 out of 5 stars
923 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
IBM
SQL: A Practical Introduction for Querying Databases
Skills you'll gain: SQL, Stored Procedure, Relational Databases, MySQL, Microsoft SQL Servers, Query Languages, Database Management, Databases, Cloud Management, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing
4.7
Rating, 4.7 out of 5 stars
592 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of California, Irvine
Interfacing with the Raspberry Pi
Skills you'll gain: Internet Of Things, Application Programming Interface (API), TCP/IP, Electronics, Embedded Systems, Control Systems, USB, Networking Hardware, Electronic Systems, Hardware Design, Digital Communications, Computer Hardware, Computer Networking, Python Programming, Servers
4.7
Rating, 4.7 out of 5 stars
1.6K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
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
955 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Data Science Foundations: Statistical Inference
Skills you'll gain: Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistical Inference, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Statistical Modeling, Data Science, Sampling (Statistics), Statistical Analysis, Data Ethics, Quantitative Research, Sample Size Determination
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
322 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
École Polytechnique Fédérale de Lausanne
Digital Signal Processing 1: Basic Concepts and Algorithms
Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Programming Principles, Engineering Analysis, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling, Computational Logic, Applied Mathematics
4.5
Rating, 4.5 out of 5 stars
623 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Santa Cruz
C for Everyone: Structured Programming
Skills you'll gain: C (Programming Language), Debugging, C++ (Programming Language), Data Structures, Computer Programming, Command-Line Interface, Algorithms, Integrated Development Environments, Program Development, File Systems
4.6
Rating, 4.6 out of 5 stars
769 reviews
Intermediate · Course · 1 - 3 Months
Northeastern University
Industrial Optimization: Models & Linear Programming
Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Linear Algebra, Mathematical Modeling, Algorithms, Business Modeling, Complex Problem Solving, Spreadsheet Software
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Illinois Urbana-Champaign
Cloud Computing Concepts, Part 1
Skills you'll gain: Distributed Computing, Data Store, NoSQL, Operating Systems, Apache Cassandra, Cloud Computing, Systems Design, Apache Hadoop, Database Theory, Algorithms, Theoretical Computer Science, Scalability, C++ (Programming Language), Network Protocols
4.3
Rating, 4.3 out of 5 stars
1.1K reviews
Beginner · Course · 1 - 3 Months
University at Buffalo
Computer Vision Basics
Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Data Processing, Digital Design, Artificial Intelligence, Matlab, Linear Algebra, Algorithms, Calculus, Probability & Statistics
4.2
Rating, 4.2 out of 5 stars
1.8K reviews
Intermediate · Course · 1 - 4 Weeks