Getting Started with R Programming

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Coursera Project Network
In this Guided Project, you will:

Install R and R packages

Use and visualize multiple statistical functions in R using proper syntax and operators

Develop a simple Machine Learning program in R

Clock2 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

By the end of this project-based course, you will learn the basics of the R programming language. I will start with the basics such as installing new library packages with CRAN, until we get you started with some data manipulations tasks. I'll introduce you to the most commonly used statistical functions of R, and finally we'll code a very simple Neural Network in R which we'll analyze cereal using an open-source dataset from Carnegie Mellon University (CMU). This project will provide valuable experience in your Machine Learning and Artificial Intelligence development journey. Familiarity with programming fundamentals is heavily recommended. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

statistical programmingPredictive ModellingStatistical AnalysisR ProgrammingStatistics

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduction to and installation of R

  2. Using CRAN to install packages

  3. Using Operators, Data Types, and Syntax

  4. Manipulating Data Frames and Cleaning Data, R Statistical Functions

  5. Using Dplyr

  6. Coding a simple Machine Learning Program in R

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.