## R Programming for Beginners: Includes R Mini-Project!

Learn R Programming using R and R Studio. Beginners course for Data Analysts, Data Scientists. Includes R Project.
• Simon Sez IT
• Language - English
• Updated on Oct, 2021
•
• 5.0
Ratings ( 1 )

#### Course Description

In this R Programming for Beginners course, we start at the very beginning and introduce you to the R programming language. After that, we get you set up in R Studio and show you how to prepare the R Workspace.

We also show you how to import data into R Studio from various file formats before launching into the essential R components - Vectors, Matrices, Arrays, Lists, Factors, Loops, Functions, Dataframes and so much more.

This course includes downloadable challenges throughout to help you implement in real life what you are learning. At the end of the course, you pull everything you have learned together and complete a mini-project to help develop your skills.

This course is about hands-on learning, not just theory!

In this course you will learn:

• What R is and how it is used in Data Science

• Data types in R, coding style, and comments

• How to use Vectors in R

• How to use Matrices in R, including matric operations and modification

• How to use Arrays in R

• About using Lists in R including how to select list elements

• All about Factors in R

• How to use Loops in R and IF, ELSE statements

• How to use Functions in R

• How to use Data Frames including tidyverse and tibbles in R

• To complete your first R programming assignment

This course includes:

1. 6 hours of video tutorials

2. 70+ individual video lectures

3. Exercise files to practice what you learned

4. An R project at the end of the course to implement what you have learned

## Who this course is for:

• People looking to learn the R Programming Language
• People learning data science

#### Goals

• What R is and how it is used in Data Science

• Data types in R, coding style, and comments

• How to use Vectors in R

• How to use Matrices in R, including matric operations and modification

• How to use Arrays in R

• About using Lists in R including how to select list elements

• All about Factors in R

• How to use Loops in R and IF, ELSE statements

• How to use Functions in R

• How to use Data Frames including tidyverse and tibbles in R

#### Prerequisites

• No prior knowledge required

#### Curriculum

• Welcome
03:04
Preview
• Why R?
05:02
Preview
• R for Data Science
06:24
Preview
• Preparing Workspace
04:16
• Guide to RStudio
09:19
• Exercise 1 - Introduction to R
03:01
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#### Feedbacks (1)

• Heni Mehta

##### This Course Includes
• 6 hours
• 71 Lectures
• 1 Resources
• Completion Certificate Sample Certificate