• Post category:StudyBullet-7
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Learn about R programming in detail

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

Description

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 practiceΒ  and learn. Resources are provided to learn about R programming in detail.


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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.

English
language

Content

Introduction

Introduction

R and R Studio Installation

Installation of R and RStudio

Basic Operations in R

Basic Operations in R
Condition and Symbol
Variable and Data types

Data structures in R

Introduction to Data structures
Vector
Arithmetic operations on Vector
Logical vectors and sequences
Factor
Matrix
Matrix Multiplication
Matrix continue
Array
List
List continue

Data frames and other Important concepts

Data frames
Recycling Rule in R
Type Coercion and Coercing factors
Advance operations in R

Control Structures

If else
Control structures continue

Function

Function
Function continue
lapply, sapply and apply functions in R

Statistics

Measurement of Central Tendency – Mean,Median and Mode
Variance
Outlier and types of Data
Skewness
Kurtosis
Hypothesis testing
Type 1 and type 2 error

Data visualization

Import and Export data
Working with Data
Scatter plot
Line graph
Bar plot
Box plot
Histogram