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

Status: Free Trial

LearnKartS

Apache Kafka

Skills you'll gain: Apache Kafka, Real Time Data, System Monitoring, Performance Tuning, Data Pipelines, Apache Spark, Apache Hadoop, Apache, Big Data, Systems Architecture, Continuous Monitoring, Data Processing, Data Integration, Data Architecture, Middleware, Data Security, Distributed Computing, Scala Programming, Software Architecture, Restful API

University of Michigan

البرمجة للجميع - بدء استخدام بايثون

Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Development Environment

National Taiwan University

用 Python 做商管程式設計（三）(Programming for Business Computing in Python (3))

Skills you'll gain: Statistical Visualization, Matplotlib, Web Scraping, Business Logic, Machine Learning, Operational Analysis, Business Analytics, Python Programming, Programming Principles, Business Economics, User Interface (UI) Design, Computational Thinking, UI Components, Object Oriented Programming (OOP), Data Analysis

Duke University

R을 사용한 확률 및 데이터 소개

Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Statistical Inference, Probability Distribution, Statistics, R Programming, Bayesian Statistics, Probability, Data Analysis, Statistical Analysis, Descriptive Statistics

Status: Free Trial

Epic Games

Blueprint Scripting

Skills you'll gain: Unreal Engine, Game Design, Data Management, Blueprinting, Video Game Development, Scripting, UI Components, C++ (Programming Language), Object Oriented Programming (OOP), Debugging

Coursera Project Network

C++ Data Structures in the STL

Skills you'll gain: C++ (Programming Language), Data Structures, Data Store, Data Cleansing, Data Import/Export, Data Validation, Data Integrity

Status: Free Trial

Fractal Analytics

Generative AI Essentials: A Comprehensive Introduction

Skills you'll gain: Generative AI, ChatGPT, Prompt Engineering, Interactive Learning, AI Personalization, Artificial Intelligence, Data Ethics, Automation

Status: Free Trial

Introducción al desarrollo de back-end

Skills you'll gain: Responsive Web Design, Bootstrap (Front-End Framework), User Interface (UI), HTML and CSS, Web Development, Front-End Web Development, Web Design, Web Applications, React.js, Back-End Web Development, Javascript

Status: Free Trial

University of London

Object-Oriented Programming in C++: Functions

Skills you'll gain: Pseudocode, C++ (Programming Language), Integrated Development Environments, Object Oriented Programming (OOP), Development Environment, Algorithms, Debugging, Programming Principles, Data Import/Export, File Systems, Data Structures

Status: New

Status: Free Trial

Amazon

Application Development

Skills you'll gain: Git (Version Control System), Software Development Methodologies, Requirements Analysis, Version Control, Application Development, Software Development Life Cycle, Systems Development, Software Development, Unified Modeling Language, Software Testing, JUnit, Agile Methodology, Spring Framework, Code Review, Maintainability, Debugging, Java, Technical Design, User Story, User Interface (UI) Design

Eindhoven University of Technology

Improving Your Statistical Questions

Skills you'll gain: Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Statistical Inference, Statistical Methods, Statistical Analysis, Data Integrity, Data Ethics, Probability & Statistics, R Programming

Status: Free

Coursera Project Network

Basic Game Development with Levels using Scratch

Skills you'll gain: Event-Driven Programming, Debugging, Game Design, Animation and Game Design, Program Development, Algorithms, Computer Programming, Application Development, Programming Principles

R Programming Courses Online

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