Get started with R -Introduction to R-programming #Beginners

Get started with R -Introduction to R-programming #Beginners, available at $34.99, has an average rating of 4.5, with 19 lectures, based on 126 reviews, and has 8403 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 Learn how to install R and RStudio on your computer You will learn Package Management in R & RStudio You will be able to learn all the fundamentals of R-programming in 2 hours! All data types in R-language Learn about functions, control structures and for loops in R & RStudio 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: Get started with R -Introduction to R-programming #Beginners

Summary

Title: Get started with R -Introduction to R-programming #Beginners

Price: $34.99

Average Rating: 4.5

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

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

Learn how to install R and RStudio on your computer

You will learn Package Management in R & RStudio

You will be able to learn all the fundamentals of R-programming in 2 hours!

All data types in R-language

Learn about functions, control structures and for loops in R & RStudio

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!

Essential R Programming Crash Course

Are you new to script-based programming in R or have minimal prior exposure? If so, this R crash course is designed for you.

Course Highlights:

The primary objective of this course is to provide you with the foundational knowledge required for more advanced courses that utilize the R language, RStudio, and R-programming. These advanced courses often delve into areas like data science, machine learning, and statistical analysis in R.

Course Benefits:

This course is incredibly concise, with a duration of less than 2 hours.

You will grasp all the fundamentals of R-programming, enabling you to begin using R effectively.

Ideal Audience:

Whether you’re a data scientist, statistician, geographer, programmer, social scientist, geologist, or any professional needing to apply statistics and data science in your field, this course is tailored to help you acquire essential R programming skills. Please note that this course is not intended for intermediate or advanced R users seeking an in-depth introduction to R programming.

Is This Course for You?

Please note that if you are already an intermediate or advanced user of R and do not require an introduction to R programming, this course may not be suitable for your needs.

Join the Course Today and Accelerate Your R Programming Skills!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What is R and RStudio?

Lecture 3: How to install R and RStudio in 2020

Lecture 4: Get started with R in RStudio

Chapter 2: Section 2: Getting familiar with R and Rstudio

Lecture 1: Lab: Installing Packages and Package Management in R

Lecture 2: Calculations in R

Lecture 3: Variables in R and assigning Variables in R

Lecture 4: Data types and data structures in R

Chapter 3: Data types and Structures in R

Lecture 1: Overview of Data types and Structures in R

Lecture 2: Lab: Data types and Structures in R

Lecture 3: Vectors in R

Lecture 4: Factors

Lecture 5: Lists

Lecture 6: Matrices

Lecture 7: Dataframes

Chapter 4: Functions and For Lopps in R: get started

Lecture 1: Lab: Functions in R

Lecture 2: Control Functions in R

Lecture 3: For Loops in R

Chapter 5: BONUS

Lecture 1: Bonus Lecture

Instructors

Kate Alison
GIS & Data Science

Rating Distribution

1 stars: 5 votes

2 stars: 5 votes

3 stars: 21 votes

4 stars: 33 votes

5 stars: 62 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!