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 California San Diego
Learn to Teach Java: Writing Classes and Arrays
Skills you'll gain: Java Programming, Java, Object Oriented Programming (OOP), Programming Principles, Software Design, Computer Programming, Program Development, Debugging, Integrated Development Environments, Data Structures, Algorithms
4.8
Rating, 4.8 out of 5 stars
14 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Coursera Project Network
Tweet Emotion Recognition with TensorFlow
Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Data Processing
4.5
Rating, 4.5 out of 5 stars
159 reviews
Intermediate · Guided Project · Less Than 2 Hours
Icahn School of Medicine at Mount Sinai
Dynamical Modeling Methods for Systems Biology
Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Thinking, Applied Mathematics, Simulations, Statistical Modeling, Predictive Modeling, Probability, Life Sciences, Systems Analysis, Basic Electrical Systems
4.7
Rating, 4.7 out of 5 stars
220 reviews
Mixed · Course · 1 - 3 Months
University of Michigan
Introduction to Machine Learning in Sports Analytics
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Data Analysis Software, Random Forest Algorithm
4.8
Rating, 4.8 out of 5 stars
24 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Data Science Methods for Quality Improvement
Skills you'll gain: Process Capability, Statistical Inference, Correlation Analysis, Probability Distribution, Statistical Analysis, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Statistical Process Controls, Statistics, Statistical Hypothesis Testing, Systems Analysis, R Programming, Data Analysis, Quality Control, Probability, Box Plots, Systems Of Measurement, Statistical Methods, Regression Analysis
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
49 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
Coursera Project Network
Transfer Learning for NLP with TensorFlow Hub
Skills you'll gain: Tensorflow, Natural Language Processing, Keras (Neural Network Library), Text Mining, Applied Machine Learning, Deep Learning, Software Visualization
4.8
Rating, 4.8 out of 5 stars
177 reviews
Intermediate · Guided Project · Less Than 2 Hours
Amazon Web Services
Python for Serverless Applications and Automation on AWS
Skills you'll gain: Software Architecture, Amazon Web Services, API Gateway, Amazon DynamoDB, Python Programming, Service Oriented Architecture, Cloud Computing Architecture, Microservices, Serverless Computing, Cloud Applications, Databases, Scripting, Database Systems, NoSQL, Programming Principles, Automation, Relational Databases, Application Development, Development Environment
4.5
Rating, 4.5 out of 5 stars
12 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
Functions, Tools and Agents with LangChain
Skills you'll gain: ChatGPT, OpenAI, Generative AI, Natural Language Processing, Application Development, Application Frameworks, Data Import/Export
4.8
Rating, 4.8 out of 5 stars
93 reviews
Intermediate · Project · Less Than 2 Hours
University of Colorado Boulder
Linux Embedded System Topics and Projects
Skills you'll gain: Agile Methodology, Scrum (Software Development), Software Testing, Embedded Systems, Software Development Methodologies, Docker (Software), Git (Version Control System), Containerization, Linux Administration, System Programming, Linux, C++ (Programming Language), CI/CD, Internet Of Things, File Systems
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
9 reviews
Advanced · Course · 1 - 4 Weeks
Status: New
Codio
C++: Data Structures and Algorithms
Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, C++ (Programming Language), Programming Principles, Computer Programming, Technical Design, Theoretical Computer Science, Object Oriented Programming (OOP)
Intermediate · Specialization · 1 - 3 Months
Google Cloud
Introduction to APIs in Google
Skills you'll gain: Cloud API, JSON, Restful API, Application Programming Interface (API), Google Cloud Platform, Software Architecture, Authentications, Network Protocols
3.3
Rating, 3.3 out of 5 stars
25 reviews
Beginner · Project · Less Than 2 Hours
Coursera Project Network
أساسيات تحليل البيانات باستخدام بايثون وباندا
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Graphing, Exploratory Data Analysis, Data Manipulation, Matplotlib, Jupyter, NumPy, Python Programming
4.7
Rating, 4.7 out of 5 stars
35 reviews
Beginner · Guided Project · Less Than 2 Hours