Udemy

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English

Language

Programming Languages

Category

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

4.34 (37 reviews)

Students

2.5 hours

Content

Nov 2020

Last Update
Regular Price


What you will 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


Description

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

This is an 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 use the R language, RStudio, and R-programming for example, for data science, machine learning, or statistical analysis in R. This is also a baseline course that I will recommend to my students to take to refresh their knowledge on learning R-programming language for my upcoming data science courses in R.

The best about this course that is in a very concise manner (2 hours!) you will be able to learn all the fundamentals of R-programming that will enable you to get started with R!

What will you learn in this course:

§ Package Management

§ Calculate with R

§ Variables

§ Vectors

§ Matrices

§ Lists

§ Data frames

§ Missing values

§ Functions

§ Control Structures

§ For loops

All the R-scripts used in this course will be also provided to you.


The course is ideal for professionals such as data scientists, statisticians, geographers, programmers, social scientists, geologists, and all other experts who need to use statistics & data science in their field.

This course is NOT for you if you an intermediate or advanced user of R and don't need an introduction to R programming!

Let’s get started!


Screenshots

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

Content

Introduction

Introduction

Getting started - Installing R and RStudio

What is R and RStudio?

How to install R and RStudio in 2020

Lab: Install R and RStudio in 2020

Lab: Get started with R in RStudio

R Package Management & Calculations in R

Lab: Installing Packages and Package Management in R

Lab: Calculations in R

Variables in R and assigning Variables in R

Lab: Variables in R and assigning Variables in R

Overview of data types & structures

Overview of data types and data structures in R

Lab: Overview of data types and data structures in R

Data types and data structures: Vectors in R

Vectors' operations in R

Lab: Vectors' operations in R

Data types and data structures: Factors

Matrices, Lists and Dataframes

Data types and data structures: Matrices

Data types and data structures: Lists

An introduction to Dataframes

Indexing and querying Dataframes

Modifying Dataframes

Handling missing values in R

Functions, Control Structures, and For Loops in R

Overview of functions in R

Control Functions (if, if else, else, while, switch, repeat, break, return) in R

For Loops in R


Reviews

H
Harold24 March 2021

Great so far, very knowledgeable about R and RStudio installation, very pleasing lectures and expect more as the course progresses to mastery of R

М
Марина2 February 2021

I enjoyed the course material. Instructions were mostly clear, was able to find solutions in the Q&A when code was not working properly. Instructors were responsive when helping students. Can't wait to use what I learned here in work.

А
Анна2 February 2021

Never thought I could get R-programming this easy. Your teaching prower is amazing. I enjoyed every bit of it.

В
Василий1 February 2021

Full analytic and good course for someone who has no knowledge of machine learning in R. The instructor was excellent!

С
Светлана11 November 2020

The course contains great information. The delivery of lectures has been made very interesting by the instructor


Coupons

DateDiscountStatus
2/12/202150% OFFExpired
4/19/2021100% OFFExpired
5/4/2021100% OFFExpired

3460780

Udemy ID

8/30/2020

Course created date

10/25/2020

Course Indexed date
Angelcrc Seven
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