Introduction to R, Short Course | Part time online | Data Camp | United States
Studyportals
Short Online

Introduction to R

1 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames. Join the Introduction to R course at Data Camp. 

Overview

Join over 9 million learners and start Introduction to R today!

In this introduction to R course at Data Camp, you'll master the basics of this widely used open source language—including vectors, factors, lists, and data frames. With the coding skills you'll gain in this course, you'll be ready to undertake your own data analysis in R. There are millions of R users worldwide, cementing it as a leading programming language in statistics and data science. More and more organizations are using R, so begin your coding journey in one of DataCamp's most popular courses today!

Programme Structure

Chapters include:

  • Vectors
  • Matrices
  • Factors
  • Data frames
  • Lists

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing

Funding

Other interesting programmes for you

Our partners

Introduction to R
Data Camp
Introduction to R
-
Data Camp

Wishlist

Go to your profile page to get personalised recommendations!