Login Sign Up

Introduction to R

Via DataCamp

DataCamp based on 688 ratings

Share

0

Overview

Introduction to R is a beginner-friendly course designed to help learners quickly grasp the fundamentals of R programming—a powerful language widely used for data analysis, statistics, and visualization. Whether you’re a student, researcher, or professional aiming to analyze data effectively, this course provides a clear and practical foundation. Starting with the basics, you’ll learn how to install R and RStudio, understand R’s syntax, and work with variables, data types, and basic functions. The course gradually introduces data structures such as vectors,...

Syllabus

  • Intro to basics
    • Take your first steps with R. In this chapter, you will learn how to use the console as a calculator and how to assign variables. You will also get to know the basic data types in R. Let's get started.
  • Vectors
    • We take you on a trip to Vegas, where you will learn how to analyze your gambling results using vectors in R. After completing this chapter, you will be able to create vectors in R, name them, select elements from them, and compare different vectors.
  • Matrices
    • In this chapter, you will learn how to work with matrices in R. By the end of the chapter, you will be able to create matrices and understand how to do basic computations with them. You will analyze the box office numbers of the Star Wars movies and learn how to use matrices in R. May the force be with you!
  • Factors
    • Data often falls into a limited number of categories. For example, human hair color can be categorized as black, brown, blond, red, grey, or whiteand perhaps a few more options for people who color their hair. In R, categorical data is stored in factors. Factors are very important in data analysis, so start learning how to create, subset, and compare them now.
  • Data frames
    • Most datasets you will be working with will be stored as data frames. By the end of this chapter, you will be able to create a data frame, select interesting parts of a data frame, and order a data frame according to certain variables.
  • Lists
    • As opposed to vectors, lists can hold components of different types, just as your to-do lists can contain different categories of tasks. This chapter will teach you how to create, name, and subset these lists.
Introduction to R
Go to Class

via DataCamp

4 hours

Certificate Available

English

On-Demand

Instructor

Jonathan Cornelissen

Reviews

No reviews yet. Be the first to review!