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 London
Introduction to Meteor.js Development
Skills you'll gain: MongoDB, JavaScript Frameworks, Web Applications, Authentications, Web Development, Database Application, User Accounts, Application Security, Database Systems, Package and Software Management, Software Installation
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Mixed · Course · 1 - 3 Months
IBM
Software Developer Career Guide and Interview Preparation
Skills you'll gain: Interviewing Skills, Professional Networking, Professional Development, Software Development, Software Engineering, Relationship Building, Programming Principles, Problem Solving, Communication Strategies, Verbal Communication Skills
4.8
Rating, 4.8 out of 5 stars
260 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
Duke University
Programming for Python Data Science: Principles to Practice
Skills you'll gain: Matplotlib, Pandas (Python Package), Computational Thinking, Predictive Modeling, Data Cleansing, Data Visualization Software, Visualization (Computer Graphics), Data Structures, Debugging, NumPy, Data Manipulation, Regression Analysis, Data Analysis, Python Programming, Algorithms, Simulations, Statistical Methods, Program Development, Data Science, Object Oriented Programming (OOP)
3.8
Rating, 3.8 out of 5 stars
65 reviews
Beginner · Specialization · 3 - 6 Months
Rice University
Python Data Visualization
Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Data Mapping, Software Installation, Scripting, Data Processing, Data Integration, Data Import/Export, Scripting Languages, Data Structures, Software Documentation
4.6
Rating, 4.6 out of 5 stars
542 reviews
Beginner · Course · 1 - 4 Weeks
EDHEC Business School
Python and Machine Learning for Asset Management
Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Machine Learning, Applied Machine Learning, Financial Modeling, Supervised Learning, Predictive Modeling, Risk Management, Feature Engineering, Unsupervised Learning, Regression Analysis, Statistical Methods, Dimensionality Reduction
3.1
Rating, 3.1 out of 5 stars
328 reviews
Intermediate · Course · 1 - 3 Months
École Polytechnique Fédérale de Lausanne
Functional Programming in Scala Capstone
Skills you'll gain: Scala Programming, User Interface (UI), Interactive Data Visualization, Real Time Data, Big Data, Visualization (Computer Graphics), Geospatial Mapping, Data Manipulation, Data Transformation, Spatial Data Analysis
4.4
Rating, 4.4 out of 5 stars
546 reviews
Mixed · Course · 1 - 3 Months
University of Colorado Boulder
Linux Kernel Programming and Introduction to Yocto Project
Skills you'll gain: System Programming, Linux, Embedded Systems, Debugging, Operating Systems, Peripheral Devices, Build Tools, File Systems, C (Programming Language), Development Environment, Command-Line Interface, Data Structures
4.6
Rating, 4.6 out of 5 stars
18 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free
École Polytechnique Fédérale de Lausanne
Systèmes d’Information Géographique - Partie 1
Skills you'll gain: Geographic Information Systems, Data Modeling, GIS Software, SQL, Spatial Data Analysis, Query Languages, Relational Databases, Land Management, Global Positioning Systems, Environmental Science, Data Capture, Data Storage
4.5
Rating, 4.5 out of 5 stars
283 reviews
Beginner · Course · 1 - 3 Months
EDUCBA
Introduction to AutoSAR
Skills you'll gain: Real-Time Operating Systems, Software Development, Software Design, Software Architecture, Embedded Systems, Configuration Management, Systems Architecture, Extensible Markup Language (XML), System Configuration, Application Programming Interface (API)
4.7
Rating, 4.7 out of 5 stars
156 reviews
Beginner · Course · 1 - 4 Weeks
Board Infinity
Data Structures & Backend with Java
Skills you'll gain: Spring Boot, Restful API, Model View Controller, Spring Framework, Java, Java Programming, Web Services, Back-End Web Development, Data Structures, Object Oriented Programming (OOP), Authentications, Authorization (Computing)
4.2
Rating, 4.2 out of 5 stars
102 reviews
Advanced · Course · 1 - 4 Weeks
University of Colorado Boulder
Excel/VBA for Creative Problem Solving, Part 2
Skills you'll gain: Excel Macros, Visual Basic (Programming Language), Data Import/Export, Programming Principles, Spreadsheet Software, UI Components, Automation, Data Structures, Debugging, Data Validation
4.9
Rating, 4.9 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 4 Weeks