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

Coursera Project Network
Tidy Messy Data using tidyr in R
Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
10 reviews
Intermediate · Guided Project · Less Than 2 Hours
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Mining, Data Modeling, Databases, Data Science, Stored Procedure, Relational Databases, R Programming, Database Design, Query Languages, Database Management, Big Data, Computer Programming Tools, GitHub, Data Visualization Software, Application Deployment, Data-Driven Decision-Making, Cloud Computing, Data Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
97K reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Building Statistical Models in R: Linear Regression
Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
17 reviews
Beginner · Guided Project · Less Than 2 Hours
Università di Napoli Federico II
Data Science con Python e R
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Scripting, Machine Learning, Exploratory Data Analysis, Programming Principles
4.3
Rating, 4.3 out of 5 stars
50 reviews
Intermediate · Specialization · 1 - 3 Months
Coursera Project Network
Transforming Data in R
Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Cleansing, Data Integration, R Programming, Data Quality
4.5
Rating, 4.5 out of 5 stars
23 reviews
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Importing Data into R
Skills you'll gain: Web Scraping, Relational Databases, Statistical Software, Data Import/Export, R Programming, MySQL, Data Capture, Microsoft Excel
4.6
Rating, 4.6 out of 5 stars
17 reviews
Intermediate · Guided Project · Less Than 2 Hours
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
Johns Hopkins University
Genomic Data Science
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Science and Research, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Statistical Programming, Jupyter
4.5
Rating, 4.5 out of 5 stars
6.6K reviews
Intermediate · Specialization · 3 - 6 Months
DeepLearning.AI
Deep Learning
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Machine Learning Methods, Python Programming, Data-Driven Decision-Making, Text Mining, Network Architecture
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
145K reviews
Intermediate · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Machine Learning Algorithms with R in Business Analytics
Skills you'll gain: Regression Analysis, R Programming, Exploratory Data Analysis, Business Analytics, Statistical Analysis, Predictive Analytics, Unsupervised Learning, Machine Learning, Data Analysis, Classification And Regression Tree (CART), Supervised Learning
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
38 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
IBM Back-End Development
Skills you'll gain: Open Web Application Security Project (OWASP), Istio, Software Development Life Cycle, Linux Commands, Unit Testing, Application Deployment, Kubernetes, NoSQL, Bash (Scripting Language), MongoDB, Shell Script, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Containerization, GitHub, Jupyter, Grafana
4.6
Rating, 4.6 out of 5 stars
47K reviews
Beginner · Professional Certificate · 3 - 6 Months
IBM
Data Science with R - Capstone Project
Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Data Storytelling, Interactive Data Visualization, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, Statistical Modeling, R Programming, Regression Analysis, Ggplot2, Data Visualization Software, Web Scraping
4.6
Rating, 4.6 out of 5 stars
90 reviews
Intermediate · Course · 1 - 3 Months