Optimizing Sales through HR Analytics

Optimizing Sales through HR Analytics, available at $19.99, has an average rating of 4.15, with 26 lectures, based on 19 reviews, and has 111 subscribers.

You will learn about What is Employee Segmentation? Why do we use employee segmentation? How to apply Employee segmentation to increase the employee segmentation and reward system. Anatomy of Statistical Model to understand the technique of solving any business problem through analytics. Learn how to understand Business problem and what are the key factors. How to collect data to solve that problem? Getting the most out of data using basic analytics technique or you can say Exploratory Data analytics. Applying feature engineering techniques to get in depth knowledge hidden inside the data. You will learn what is feature creation, variable transformation, and variable reduction. Learn the hypothesis techniques required for RFM analysis. How to apply the RFM analysis using R. Get the insight and help increase the ROI of your business. This course is ideal for individuals who are Managers who want to make data-driven decisions about employees, teams and their management practices. or HR Professionals who want to incorporate data analysis into their practice. or Business Analyst/Data Analysis professionals looking to apply their skills to people management decisions. or Business owners and entrepreneurs. or Students or any individual who want to advance into HR. It is particularly useful for Managers who want to make data-driven decisions about employees, teams and their management practices. or HR Professionals who want to incorporate data analysis into their practice. or Business Analyst/Data Analysis professionals looking to apply their skills to people management decisions. or Business owners and entrepreneurs. or Students or any individual who want to advance into HR.

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Summary

Title: Optimizing Sales through HR Analytics

Price: $19.99

Average Rating: 4.15

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: ₹7,900

Quality Status: approved

Status: Live

What You Will Learn

What is Employee Segmentation?
Why do we use employee segmentation?
How to apply Employee segmentation to increase the employee segmentation and reward system.
Anatomy of Statistical Model to understand the technique of solving any business problem through analytics.
Learn how to understand Business problem and what are the key factors.
How to collect data to solve that problem?
Getting the most out of data using basic analytics technique or you can say Exploratory Data analytics.
Applying feature engineering techniques to get in depth knowledge hidden inside the data.
You will learn what is feature creation, variable transformation, and variable reduction.
Learn the hypothesis techniques required for RFM analysis.
How to apply the RFM analysis using R.
Get the insight and help increase the ROI of your business.

Who Should Attend

Managers who want to make data-driven decisions about employees, teams and their management practices.
HR Professionals who want to incorporate data analysis into their practice.
Business Analyst/Data Analysis professionals looking to apply their skills to people management decisions.
Business owners and entrepreneurs.
Students or any individual who want to advance into HR.

Target Audiences

Managers who want to make data-driven decisions about employees, teams and their management practices.
HR Professionals who want to incorporate data analysis into their practice.
Business Analyst/Data Analysis professionals looking to apply their skills to people management decisions.
Business owners and entrepreneurs.
Students or any individual who want to advance into HR.

Confused how to give incentives to the employees?

Not able to decide how to identify the top performing employees?

Are you facing issues related to employee satisfaction in your organization?

Is your organization not giving proper attention to employee needs?

Are you confused about how to improve the business ROI?

Employee segmentation is used in many organizations nowadays. The idea behind this is simple, to segment the employee in such a way to maximize the efficiency of the workforce as well as the reward management. This course utilizes RFM( Recency, Frequency, Monetary) method of employee segmentation. The segmentation method involves the use of the R language for finding the optimal number of clusters which can be created using the data-set. Hierarchical clustering as well as elbow graph plays an important role in finding the optimal number of clusters.

In this course we will take you to the path where you will learn how to choose and decide the right number of clusters along with the ratings from 1 to 5 to find the best employees and the employees who need training.

We tried to create a very simple structure for this course so even if you have no knowledge or very basic knowledge of analytics then even you won’t face any problem throughout the course. Let’s take a look at the structure. We will start with

What is Employee Segmentation?
Why do we use employee segmentation?
How to apply Employee segmentation to increase the employee segmentation and reward system.
Anatomy of Statistical Model to understand the technique of solving any business problem through analytics
Learn how to understand Business problem and what are the key factors.
How to collect data to solve that problem?
Getting the most out of data using basic analytics technique or you can say Exploratory Data analytics.
Applying feature engineering techniques to get in depth knowledge hidden inside the data.
You will learn what is feature creation, variable transformation, and variable reduction.
Learn the hypothesis techniques required for renege analysis
How to apply the RFM analysis using R

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Abstract and Objective

Chapter 2: Employee Segmentation

Lecture 1: What is Employee Segmentation?

Lecture 2: Why Employee Segmentation?

Lecture 3: Using Employee Segmentation to improve Business ROI

Chapter 3: Anatomy of Statistical Model

Lecture 1: Anatomy of Statistical Model

Chapter 4: The Business Problem

Lecture 1: Understanding Business Problem

Chapter 5: R Installation

Lecture 1: Introduction and Installation of R

Chapter 6: Data Identification and Discovery

Lecture 1: Data Collection

Lecture 2: Resources

Lecture 3: Data Dictionary

Lecture 4: Validate for correctness

Chapter 7: Data Preparation

Lecture 1: Uni-variate Analysis(Metric Approach)

Lecture 2: Uni-variate Analysis(Visual Approach)

Lecture 3: Missing Value

Lecture 4: Outlier

Lecture 5: Feature Engineering

Lecture 6: Bi-variate and Hypothesis Testing Part-1

Lecture 7: Bi-variate and Hypothesis Testing Part-2

Chapter 8: RFM

Lecture 1: What is RFM?

Lecture 2: RFM Analysis

Lecture 3: Overview of Clustering

Lecture 4: Finding optimal number of Clusters

Lecture 5: Creating Cluster of Employees

Chapter 9: Code Juice

Lecture 1: R Code Juice

Chapter 10: Conclusion

Lecture 1: Insight and Conclusion

Instructors

Unlock HR
HR Analytics / People Analytics / Talent Analytics

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 4 votes
4 stars: 8 votes
5 stars: 6 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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