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
University of Michigan
Python Data Structures
Skills you'll gain: Data Structures, Python Programming, Programming Principles, Data Import/Export, Data Manipulation, Development Environment, File Management
4.9
Rating, 4.9 out of 5 stars
97K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Pennsylvania
Introduction to Python Programming
Skills you'll gain: Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Integrated Development Environments, Data Import/Export, Jupyter, File Management
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
Neural Networks and Deep Learning
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning
4.9
Rating, 4.9 out of 5 stars
123K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
École Polytechnique Fédérale de Lausanne
Parallel programming
Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Other Programming Languages, Java, Performance Tuning
4.4
Rating, 4.4 out of 5 stars
1.8K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling
4.9
Rating, 4.9 out of 5 stars
28K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Data Engineering Foundations
Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, Extract, Transform, Load, IBM DB2, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Manipulation, Stored Procedure, Databases, Automation, Python Programming
4.6
Rating, 4.6 out of 5 stars
56K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Programming Foundations with JavaScript, HTML and CSS
Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Web Design, Computer Programming, Image Analysis, Computational Thinking, Algorithms, Debugging
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
AI Foundations for Everyone
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Artificial Intelligence, ChatGPT, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Workflow Management, Deep Learning, Machine Learning, Artificial Neural Networks, Governance, Automation, Application Deployment, Business Transformation, IBM Cloud, Applied Machine Learning, Program Development, Computer Vision
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Programming Fundamentals
Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Software Testing, Debugging
4.7
Rating, 4.7 out of 5 stars
6.9K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
IBM Business Intelligence (BI) Analyst
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, IBM DB2, Tableau Software, Relational Databases, Star Schema, Data Visualization Software, Interactive Data Visualization, Regression Analysis, Data-Driven Decision-Making, Excel Formulas, Microsoft Excel
4.7
Rating, 4.7 out of 5 stars
14K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
BI Foundations with SQL, ETL and Data Warehousing
Skills you'll gain: Data Warehousing, Extract, Transform, Load, Apache Airflow, Linux Commands, SQL, IBM Cognos Analytics, Data Pipelines, Apache Kafka, Bash (Scripting Language), Shell Script, Dashboard, File Management, Star Schema, Unix Shell, IBM DB2, Business Intelligence, Interactive Data Visualization, Relational Databases, Stored Procedure, Databases
4.6
Rating, 4.6 out of 5 stars
24K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Google
Prepare Data for Exploration
Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Data Cleansing, Databases, Data Access, Data Quality, Data Management, Data Collection, Relational Databases, SQL, Metadata Management, Unstructured Data
4.8
Rating, 4.8 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months