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
Codio
Programming in Python: A Hands-on Introduction
Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Data Import/Export, Data Structures, Python Programming, Scripting, Computational Logic, Computer Science, File Management
4.5
Rating, 4.5 out of 5 stars
465 reviews
Beginner · Specialization · 3 - 6 Months
University of Toronto
Learn to Program: Crafting Quality Code
Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Unit Testing, Python Programming, Algorithms, Test Case, Software Testing, Debugging, Computational Thinking
4.6
Rating, 4.6 out of 5 stars
728 reviews
Mixed · Course · 1 - 3 Months
Coursera Project Network
Python 101: Develop Your First Python Program
Skills you'll gain: Game Design, Program Development, Python Programming, Computer Programming, Scripting, Scripting Languages
4.7
Rating, 4.7 out of 5 stars
252 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Meta
Ingeniero en base de datos de Meta
Skills you'll gain: MySQL, MySQL Workbench, Database Management, Relational Databases, Data Modeling, SQL, Database Design, Version Control, Data Warehousing, Database Management Systems, Database Theory, Unix Commands, Extract, Transform, Load, Databases, Git (Version Control System), Django (Web Framework), Algorithms, Test Driven Development (TDD), Unit Testing, Pseudocode
4.8
Rating, 4.8 out of 5 stars
333 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
University of California, Irvine
Database Design and Operational Business Intelligence
Skills you'll gain: Extract, Transform, Load, Decision Support Systems, Data Warehousing, Data Mining, Database Design, Business Intelligence, Dashboard, Star Schema, Relational Databases, Database Management, Data Visualization Software, Snowflake Schema, Business Reporting, Database Management Systems, SAS (Software), Data Modeling, Interactive Data Visualization, SQL, Data Mart, Data Storytelling
4.5
Rating, 4.5 out of 5 stars
227 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Introduction to Machine Learning: Supervised Learning
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Classification And Regression Tree (CART), Python Programming, Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning
Build toward a degree
3.4
Rating, 3.4 out of 5 stars
77 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of California San Diego
Internet of Things and AI Cloud
Skills you'll gain: Session Initiation Protocols, Version Control, Integrated Development Environments, Cloud Computing Architecture, GitHub, Cloud Computing, Software Design, Amazon Web Services, Software Design Documents, Cloud Infrastructure, Git (Version Control System), Computer Vision, System Design and Implementation, Android Development, Android Studio, Telecommunications, Internet Of Things, Wireless Networks, Mobile Development, Digital Communications
4.2
Rating, 4.2 out of 5 stars
1.8K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
DeepLearning.AI
ChatGPT Prompt Engineering for Developers
Skills you'll gain: ChatGPT, Prompt Engineering, OpenAI, Large Language Modeling, Generative AI, Application Programming Interface (API), Application Development, Jupyter
4.7
Rating, 4.7 out of 5 stars
1.6K reviews
Beginner · Project · Less Than 2 Hours
Status: Free Trial
Duke University
Rust Fundamentals
Skills you'll gain: Rust (Programming Language), Unit Testing, Test Case, Software Testing, Data Structures, Debugging, GitHub, Programming Principles, Package and Software Management, Development Environment
4
Rating, 4 out of 5 stars
161 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
LearnQuest
Java Enterprise Edition
Skills you'll gain: Java Platform Enterprise Edition (J2EE), Application Deployment, Web Applications, Application Servers, Java, Object-Relational Mapping, Application Development, Web Development, Web Servers, Application Frameworks, Scripting, Middleware, Server Side, Javascript and jQuery, Data Storage, Apache Tomcat, Enterprise Architecture, Data Sharing, Hypertext Markup Language (HTML), Model View Controller
4.6
Rating, 4.6 out of 5 stars
210 reviews
Intermediate · Specialization · 1 - 3 Months
Google Cloud
BigQuery for Data Analysts
Skills you'll gain: Looker (Software), Big Data, SQL, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Cleansing, Data Analysis, Data Visualization Software, Google Sheets, Google Cloud Platform, Data Import/Export, Data Integrity
4.5
Rating, 4.5 out of 5 stars
58 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
New York University
Fundamentals of Machine Learning in Finance
Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter
3.7
Rating, 3.7 out of 5 stars
338 reviews
Intermediate · Course · 1 - 4 Weeks