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R Crash Course - Learn R-programming in 2 hours: R & RStudio

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  • 6,973 Students
  • Updated 11/2023
4.4
(120 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 28 Minute(s)
Language
English
Taught by
Kate Alison, Georg Müller
Rating
4.4
(120 Ratings)
2 views

Course Overview

R Crash Course - Learn R-programming in 2 hours: R & RStudio

R Crash Course - a short and concise introduction to R and RStudio, R-programming for the Beginners

Welcome to the R Crash Course - Your Gateway to R Programming for Beginners

If you're new to script-based programming in R or have limited prior exposure, this course is your ideal starting point. Our primary objective is to equip you with the foundational knowledge required for more advanced R language, RStudio, and R-programming courses. Not only is this an excellent introduction for beginners, but it also serves as a baseline course for those looking to refresh their R-programming skills in preparation for upcoming data science courses in R.

Course Highlights:

In just two hours, you'll master the fundamental principles of R-programming, setting the stage for your journey into the world of R. Here's a glimpse of what you'll learn:

  • Package Management

  • Performing Calculations with R

  • Understanding Variables

  • Exploring Vectors

  • Manipulating Matrices

  • Navigating Lists

  • Working with Data Frames

  • Handling Missing Values

  • Leveraging Functions

  • Implementing Control Structures

  • Unveiling the Power of For Loops

You'll also receive all the R-scripts used in this course for your reference.

Ideal for Professionals

This course caters to professionals across various domains, including data scientists, statisticians, geographers, programmers, social scientists, geologists, and any experts requiring statistics and data science skills within their field.

Prerequisite Notice

Please note that this course is designed for individuals with no prior knowledge of R programming. If you are already an intermediate or advanced R user, this introductory course may not be suitable for your needs.

Let's Dive In!

Ready to embark on your R programming journey? Let's dive in and build a strong foundation that will enable you to confidently explore the exciting world of R. Join this course now and get started on your path to becoming an R programming expert!

Course Content

  • 7 section(s)
  • 31 lecture(s)
  • Section 1 Introduction
  • Section 2 Getting started - Installing R and RStudio
  • Section 3 R Package Management & Calculations in R
  • Section 4 Overview of data types & structures
  • Section 5 Matrices, Lists and Dataframes
  • Section 6 Functions, Control Structures, and For Loops in R
  • Section 7 BONUS

What You’ll Learn

  • This is a R crash course for anyone who previously had no or very little contact with script-based programming in R
  • The main goal is to establish the basic understanding needed for more advanced courses that uses R language, RStudio and R-programming
  • Learn how to install R and RStudio on your computer
  • The best about this course that in very concise manner: you will be able to learn all the fundamentals of R-programming in 2 hours!
  • You will learn Package Management in R & RStudio
  • How to calculate in R & RStudio
  • All data types in R-language
  • Learn about data frames, indexing data frames and dealing with the missing values in R & RStudio
  • Learn about functions, control structures and for loops in R & RStudio
  • All the R-scripts used in this course will be also provided to you

Skills covered in this course


Reviews

  • D
    David Knollhoff
    5.0

    This is a good course to start learning R in Rstudio. It is a crash course so many things are assumed you know, but the course does not require prior knowledge so enjoy the gold nuggets provided in this course.

  • L
    Liza
    5.0

    That was an amazing course. Easy to follow and I have learned so much. I really enjoyed the detailed explanations.

  • V
    Viktoriya
    5.0

    Great material to learn R from scratch. Always a happy, involved teacher, questions answered pretty quickly.

  • R
    Robert Findlan
    2.5

    Part 4.19 was extremely blurry. I had to go to another site to learn how to read in files since I couldn't see the text in the video clearly.

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