HR Analytics Using R

The Module will teach you to:

• Investigate what part does the objective factors of the company play to influence in attrition of employees

• Understand the working environment that causes attrition

• Comprehend the steps involved in data preparation.

• Get proficient in methods to measure Central Tendency, Variability and Shape of data.

• Get involved in better hiring practices

• Learn the skill of task automation

• Acquire skill in Process improvement

• Get more competent in managing a productive workforce

• Learn different types of plots

• Grasp to summarize the data graphically

• Get proficient in doing improved workforce planning through informed talent development

• Become proficient in graphical analysis of the data.

• Put in machine learning on HR Data for futuristic insights.

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Module - Course Content

Section : Module : Analytical Definition and Application

 Analytics

 Analytics Part-2

 

Section : Module : About R: R Installation

 

 R Introduction

 R studio installation & how to update R regulary

 

Section : Module : Entering and Reading data/Data Import and Export

 

 Importing and Exporting Data in R

 Importing and Exporting Data in R Part-2

 Exporting Data in R

 

Section : Module : Operators in R

 

 Operators of R

 Operators of R Part-2

 

Section : Module : Data Types and Data Structures

 

 Data Structure

 Data Structure Part-2

 Data Structure Part-3

 

Section : Module : Handling packages in R

 

 Handling packages in R

 

Section : Module : Subsetting Data in R

 

 Subsetting Data in R

 Subset Command

 

Section : Module : Data Management in R

 

 Data Management in R

  Adding, Removing Row, Column

 

Section : Module : Descriptive Statistics

 

 Descriptive Statistics in R

 

Section : Module : Apply Family in R

 

 Apply Family

 Apply Family Part-2

 Apply Family Part-3

 

Section : Module : Aggregate and Table Command

 

 Aggregate Function in R 

 Aggregate Table Function & Use

 Aggregate Table Function & Use Part-2

 

Section : Module : Data Manipulation in R

 

 Data Manipulation in R

 Data Manipulation in R Part- 2

 

Section : Module : Summarising the data graphically

 

 Basic Graphs 

 Basic Graphs Part-2

 Box Plot

 Bar Plots

 Histogram

 Pie Charts

 

Section : Module : ggplot – Graphical Analysis

 GG Plot Intro

 ggscatter_plot 1

 ggscatter_plot Part- 2

 GG Bar Plot

 GG Plot Heat Map

 

Section : Multi-Linear Regression

 

 Multi-Linear Regression in R

 Multi-Linear Regression in R Part-2

 

 

Section : Module : Logistic Regression

 

 Logistic Regression In R

 Logistic regression model

 Logistic regression model Part 2

 

What We Offer

                                       Knowasap Unique Features are as follows:

Lifetime Access

Every enrolled student gets lifetime access to the course.

Course Completion Certificate

Every Candidate is awarded with course completion certificate dully signed by course director, Which is “Globally” accepted and shared.

Placement Assistance

If enrolled students needs job assistance.  We will surely extends our help in getting you a job in reputed organization.

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