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

R Crash Course – Learn R-programming in 2 hours: R & RStudio, available at $39.99, has an average rating of 4.75, with 31 lectures, based on 115 reviews, and has 6944 subscribers.

You will learn about 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 This course is ideal for individuals who are 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. or This course is NOT for you, if you an intermediate or advanced user of R and dont need an introduction to R programming! It is particularly useful for 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. or This course is NOT for you, if you an intermediate or advanced user of R and dont need an introduction to R programming!.

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

Summary

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

Price: $39.99

Average Rating: 4.75

Number of Lectures: 31

Number of Published Lectures: 31

Number of Curriculum Items: 32

Number of Published Curriculum Objects: 32

Original Price: $22.99

Quality Status: approved

Status: Live

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

Who Should Attend

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 dont need an introduction to R programming!

Target Audiences

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 dont need an introduction to R programming!

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 Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Getting started – Installing R and RStudio

Lecture 1: What is R and RStudio?

Lecture 2: How to install R and RStudio in 2020

Lecture 3: Lab: Install R and RStudio in 2020

Lecture 4: Get started with R in RStudio: overview

Lecture 5: Lab: Get started with R in RStudio

Chapter 3: R Package Management & Calculations in R

Lecture 1: What are the Packages in R?

Lecture 2: Lab: Installing Packages and Package Management in R

Lecture 3: About Calculations in R

Lecture 4: Lab: Calculations in R

Lecture 5: Variables in R and assigning Variables in R

Lecture 6: Lab: Variables in R and assigning Variables in R

Chapter 4: Overview of data types & structures

Lecture 1: Overview of data types and data structures in R

Lecture 2: Lab: Overview of data types and data structures in R

Lecture 3: Data types and data structures: Vectors in R

Lecture 4: Vectors operations in R

Lecture 5: Lab: Vectors operations in R

Lecture 6: Data types and data structures: Factors

Lecture 7: Read Data into R

Chapter 5: Matrices, Lists and Dataframes

Lecture 1: Data types and data structures: Matrices

Lecture 2: Data types and data structures: Lists

Lecture 3: An introduction to Dataframes

Lecture 4: Indexing and querying Dataframes

Lecture 5: Modifying Dataframes

Lecture 6: Handling missing values in R

Chapter 6: Functions, Control Structures, and For Loops in R

Lecture 1: Overview of functions in R

Lecture 2: Lab: Functions in R – get started!

Lecture 3: Control Functions (if, if else, else, while, switch, repeat, break, return) in R

Lecture 4: For Loops in R: an overview

Lecture 5: Lab: For Loops in R

Chapter 7: BONUS

Lecture 1: Bonus

Instructors

Kate Alison
GIS & Data Science

Georg Müller
Data Science Experte

Rating Distribution

1 stars: 1 votes

2 stars: 4 votes

3 stars: 11 votes

4 stars: 35 votes

5 stars: 64 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!