R programming for beginners

R programming for beginners, available at $19.99, has an average rating of 4.65, with 39 lectures, based on 13 reviews, and has 3019 subscribers.

You will learn about Installation of R and RStudio Create and manipulate variables Learn about Data structures Create vectors,factor,matrices,array and list Understand about Control structures Learn about dataframe Learn about Functions,Importing and exporting data in csv and excel Statistics Data Visualization – Scatter plot, Bar plot, Line graph, Box plot, Histogram This course is ideal for individuals who are Beginner in R programming or College freshers or Someone who wants to kick start career in IT It is particularly useful for Beginner in R programming or College freshers or Someone who wants to kick start career in IT.

Enroll now: R programming for beginners

Summary

Title: R programming for beginners

Price: $19.99

Average Rating: 4.65

Number of Lectures: 39

Number of Published Lectures: 39

Number of Curriculum Items: 39

Number of Published Curriculum Objects: 39

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Installation of R and RStudio
Create and manipulate variables
Learn about Data structures
Create vectors,factor,matrices,array and list
Understand about Control structures
Learn about dataframe
Learn about Functions,Importing and exporting data in csv and excel
Statistics
Data Visualization – Scatter plot, Bar plot, Line graph, Box plot, Histogram

Who Should Attend

Beginner in R programming
College freshers
Someone who wants to kick start career in IT

Target Audiences

Beginner in R programming
College freshers
Someone who wants to kick start career in IT

This R programming course is for complete beginners. If you are a college graduate or Business Analyst or someone who wants to kick start in R programming then you are at right place. This course is specifically designed for beginners.

All the concepts are discussed in detail and practical examples are completed in live classes. Enough practice exercise is provided to practice.

You will start with installation of R and RStudio. You will learn about basic operations in R, Variables, loops, data structures. How to manipulate and work with different data structures. You will also learn about basic statistics required to perform well in Data science projects.

Work with data frames. Import and Export data in CSV and excel format and Visualize your data. All the videos are designed in such a way that a beginner will easily understand. Enough practice exercises are provided to practice and learn. Resources are provided to learn about R programming in detail.

What you will learn :

R and RStudio installation
Basic Operations
Conditions and Symbols in R
Variable and Data types
Data Structures
Vectors
Factors
Matrix
Array
List
Data frame
Recycling Rule in R
Control structures
Statistics
Data Visualization

At the end of the course you will be able to use R to perform analysis on your data sets.

This course will be regularly updated and new contents will be added on regular basis.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: R and R Studio Installation

Lecture 1: Installation of R and RStudio

Chapter 3: Basic Operations in R

Lecture 1: Basic Operations in R

Lecture 2: Condition and Symbol

Lecture 3: Variable and Data types

Chapter 4: Data structures in R

Lecture 1: Introduction to Data structures

Lecture 2: Vector

Lecture 3: Arithmetic operations on Vector

Lecture 4: Logical vectors and sequences

Lecture 5: Factor

Lecture 6: Matrix

Lecture 7: Matrix Multiplication

Lecture 8: Matrix continue

Lecture 9: Array

Lecture 10: List

Lecture 11: List continue

Chapter 5: Data frames and other Important concepts

Lecture 1: Data frames

Lecture 2: Recycling Rule in R

Lecture 3: Type Coercion and Coercing factors

Lecture 4: Advance operations in R

Chapter 6: Control Structures

Lecture 1: If else

Lecture 2: Control structures continue

Chapter 7: Function

Lecture 1: Function

Lecture 2: Function continue

Lecture 3: lapply, sapply and apply functions in R

Chapter 8: Statistics

Lecture 1: Measurement of Central Tendency – Mean,Median and Mode

Lecture 2: Variance

Lecture 3: Outlier and types of Data

Lecture 4: Skewness

Lecture 5: Kurtosis

Lecture 6: Hypothesis testing

Lecture 7: Type 1 and type 2 error

Chapter 9: Data visualization

Lecture 1: Import and Export data

Lecture 2: Working with Data

Lecture 3: Scatter plot

Lecture 4: Line graph

Lecture 5: Bar plot

Lecture 6: Box plot

Lecture 7: Histogram

Instructors

Vinayak Nayak
Software Engineer

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 4 votes
5 stars: 8 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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