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

Duke University

Introduction to FastAPI framework

Skills you'll gain: Restful API, Application Programming Interface (API), Application Deployment, Software Documentation, Web Applications, JSON, Application Development, Server Side, Program Development, Test Tools, Python Programming, Data Validation

Duke University

Web Scraping with Python

Skills you'll gain: Web Scraping, Extensible Markup Language (XML), Scripting, Hypertext Markup Language (HTML), Web Development, Unstructured Data, Web Applications, Python Programming

Status: Free Trial

Northeastern University

Information Systems Foundations

Skills you'll gain: Systems Thinking, Software Visualization, Object Oriented Design, Object Oriented Programming (OOP), Engineering Software, Web Applications, Software Development Life Cycle, Risk Management, Web Development, Software Design, Data Modeling, Software Engineering, Unified Modeling Language, Business Architecture, Python Programming, Business Process Modeling, Application Development, Computer Programming, Development Environment, Software Installation

Status: Free Trial

IBM

AI Workflow: Data Analysis and Hypothesis Testing

Skills you'll gain: Exploratory Data Analysis, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation

Status: Free Trial

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, System Programming, Linux, C++ (Programming Language), Internet Of Things, IBM WebSphere MQ, File Systems

Status: Free Trial

University of California San Diego

Capstone: Analyzing (Social) Network Data

Skills you'll gain: Network Analysis, Graph Theory, Technical Communication, Data Structures, Social Sciences, Analytical Skills, Algorithms, Analysis, Computer Science, Research

Status: Free Trial

Illinois Tech

Linear Regression

Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Probability & Statistics, Linear Algebra

Status: Free Trial

Akamai Technologies, Inc.

Python Scripting Fundamentals

Skills you'll gain: Application Development, Scripting, MySQL, Data Structures, Python Programming, Program Development, Database Management, Web Applications, File Management, Programming Principles

Status: Free Trial

Imperial College London

Building on the SIR Model

Skills you'll gain: Mathematical Modeling, Statistical Modeling, Simulations, Epidemiology, Infectious Diseases, R Programming, Public Health

Status: Free Trial

University of Colorado System

Data Analysis and Representation, Selection and Iteration

Skills you'll gain: Computational Thinking, Data Analysis, C (Programming Language), Statistical Analysis, Programming Principles, Data Structures, Descriptive Statistics

Status: Free Trial

CertNexus

CertNexus Certified Data Science Practitioner

Skills you'll gain: Extract, Transform, Load, Data Analysis, Jupyter, Data Visualization, Unsupervised Learning, Applied Machine Learning, Statistical Analysis, Exploratory Data Analysis, Machine Learning, Analytical Skills, Data Manipulation, Data Cleansing, Data Processing, Stakeholder Engagement, Project Scoping, Data Presentation, Business Priorities, Classification And Regression Tree (CART), Stakeholder Management, Business Analytics

Status: Free Trial

Johns Hopkins University

Statistical Methods for Computer Science

Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

R Programming Courses Online

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