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
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
Stanford University
Probabilistic Graphical Models 3: Learning
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms
4.6
Rating, 4.6 out of 5 stars
303 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
University of California San Diego
Mastering the Software Engineering Interview
Skills you'll gain: Growth Mindedness, Technical Communication, Adaptability, Algorithms, Overcoming Obstacles, Software Engineering, Verbal Communication Skills, Interpersonal Communications, Communication, Problem Solving, Self-Awareness, Collaboration
4.6
Rating, 4.6 out of 5 stars
555 reviews
Intermediate · Course · 1 - 3 Months
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
IBM
Full Stack Software Developer Assessment
Skills you'll gain: Cloud Computing, Cloud Infrastructure, Cloud Services, JavaScript Frameworks, Back-End Web Development, DevOps, Full-Stack Web Development, OpenShift, Version Control, Cloud Development, CI/CD, Software Development, Cloud-Native Computing, Web Applications, Microservices, Containerization, Kubernetes, Web Development, Serverless Computing, Docker (Software)
4.7
Rating, 4.7 out of 5 stars
273 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Vanderbilt University
Introduction to Data, Signal, and Image Analysis with MATLAB
Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Statistical Methods, Data Analysis, Data Processing, Computer Vision, Regression Analysis
4.7
Rating, 4.7 out of 5 stars
220 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Rice University
Distributed Programming in Java
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java, Software Architecture, Systems Architecture, Programming Principles, Servers, Algorithms, Network Protocols
4.6
Rating, 4.6 out of 5 stars
501 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Bioconductor for Genomic Data Science
Skills you'll gain: Bioinformatics, Data Analysis Software, R Programming, Statistical Programming, Programming Principles, Data Manipulation, Data Structures, Software Installation, Data Import/Export, Package and Software Management
3.8
Rating, 3.8 out of 5 stars
382 reviews
Mixed · Course · 1 - 4 Weeks
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
199 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
EDHEC Business School
Advanced Portfolio Construction and Analysis with Python
Skills you'll gain: Portfolio Management, Investment Management, Financial Modeling, Return On Investment, Asset Management, Financial Market, Estimation, Statistical Methods, Python Programming, Regression Analysis, Risk Analysis, Risk Management, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
507 reviews
Intermediate · 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
Johns Hopkins University
Mastering Software Development in R Capstone
Skills you'll gain: Software Documentation, Leaflet (Software), Data Manipulation, Data Cleansing, Package and Software Management, Data Visualization Software, R Programming, GitHub, Geospatial Mapping, Continuous Integration, Software Technical Review, Software Testing
4
Rating, 4 out of 5 stars
44 reviews
Intermediate · Course · 1 - 3 Months