Learn R Programming from Scratch

Learn R Programming from Scratch, available at $19.99, has an average rating of 4.3, with 21 lectures, based on 5 reviews, and has 1129 subscribers.

You will learn about You could write an R script and R commands on console You could implement various concepts in R such as vectors, lists, loop, if else, etc You could create Data Visualization charts with plot- line, bar, scatterplot and pie chart You could perform various Statistical operations on dataset such as finding min, max, median, mode, etc This course is ideal for individuals who are Anyone curious to learn R Programming or People interested in performing Data Analysis and creating Visualization charts It is particularly useful for Anyone curious to learn R Programming or People interested in performing Data Analysis and creating Visualization charts.

Enroll now: Learn R Programming from Scratch

Summary

Title: Learn R Programming from Scratch

Price: $19.99

Average Rating: 4.3

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

You could write an R script and R commands on console
You could implement various concepts in R such as vectors, lists, loop, if else, etc
You could create Data Visualization charts with plot- line, bar, scatterplot and pie chart
You could perform various Statistical operations on dataset such as finding min, max, median, mode, etc

Who Should Attend

Anyone curious to learn R Programming
People interested in performing Data Analysis and creating Visualization charts

Target Audiences

Anyone curious to learn R Programming
People interested in performing Data Analysis and creating Visualization charts

Welcome to this course on R programming, where you will learn to write code in R by implementing various concepts. As you might already be aware that R is not like general purpose programming languages, but optimized specifically to do complex mathematical tasks, finding insights from huge dataset and plotting the insights in form of Visualization charts. These capabilities make R, the most widely used language when it comes to Data Science, Data Analysis and Business Intelligence.

This course would teach you everything in R programming right from the scratch, so don’t worry if you an absolute beginner. Moreover, if you have already used python or R previously, this course would take your skillset to the professional levels.

Why learn R?

It helps Data Analysts and Data Scientists perform many data-related tasks, such as data storage and data analysis, and can be used to create customized dashboards and data visualizations. R is a high level language that has easier syntax as compared to other programming languages such as C, C++, Java, python, dot net. If you are skilled in R programming, it will add a significant value on your Resume and could help you get an aspirational career opportunity.

Here in this course you would learn various concepts in R with practical examples such as-

Fundamentals of R
Datatypes and Variables
String functions
Boolean
Operators in R- Arithmetic, Assignment, Comparison, Logical, Miscellaneous
Control statements- if else, switch case, if else ladder and nested if
Loop- for, while, repeat, break, next, nested
Creating functions, parameters and arguments
Data Structures in R
Vector and List
Arrays and Matrix
Data Visualization in R- Plot
Line, Bar, Scatterplot, Pie charts, histogram
Statistics in R with mtcars
Statistical functions- max, min, mean, median, mode

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Resource files

Chapter 2: Getting started with Strings in R

Lecture 1: Strings

Chapter 3: If else, while and for loop

Lecture 1: Boolean, If else conditionals

Lecture 2: if else- multiple conditions

Lecture 3: while and for loop

Lecture 4: Nested Loop

Chapter 4: Create a function in R

Lecture 1: Custom function

Chapter 5: Data structure

Lecture 1: Vector

Lecture 2: List

Lecture 3: Matrix

Lecture 4: Array

Chapter 6: Data Visualization

Lecture 1: Getting started with Data Visualization- Plot chart

Lecture 2: Plot chart parameters for Visualization

Lecture 3: Creating Line chart and working with dataset

Lecture 4: Scatterplot chart

Lecture 5: Bar chart

Lecture 6: Pie chart

Chapter 7: Statistics

Lecture 1: Working with dataset and histogram

Lecture 2: Statistics part 1

Lecture 3: Statistics part 2

Instructors

Harshit Srivastava
Cloud Professional | Content Creator | Edupreneur

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 2 votes
5 stars: 2 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!

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