Optimizing Sales through HR Analytics
4.0 (10 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
51 students enrolled

Optimizing Sales through HR Analytics

Employee Segmentation using well-known technique RFM Analysis using R
4.0 (10 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
51 students enrolled
Created by Unlock HR
Last updated 9/2019
English
English [Auto-generated]
Current price: $128.99 Original price: $184.99 Discount: 30% off
5 hours left at this price!
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This course includes
  • 4.5 hours on-demand video
  • 1 article
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll 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.
Requirements
  • Anyone can take this course. You do not need any prior knowledge or additional equipment.
Description

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


  1. What is Employee Segmentation?

  2. Why do we use employee segmentation?

  3. How to apply Employee segmentation to increase the employee segmentation and reward system.

  4. Anatomy of Statistical Model to understand the technique of solving any business problem through analytics

  5. Learn how to understand Business problem and what are the key factors.

  6. How to collect data to solve that problem?

  7. Getting the most out of data using basic analytics technique or you can say Exploratory Data analytics.

  8. Applying feature engineering techniques to get in depth knowledge hidden inside the data.

  9. You will learn what is feature creation, variable transformation, and variable reduction.

  10. Learn the hypothesis techniques required for renege analysis

  11. How to apply the RFM analysis using R

Who this course is for:
  • 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.
Course content
Expand all 26 lectures 04:38:25
+ Employee Segmentation
3 lectures 07:20
What is Employee Segmentation?
03:40
Why Employee Segmentation?
01:11
Using Employee Segmentation to improve Business ROI
02:29
+ Anatomy of Statistical Model
1 lecture 07:44
Anatomy of Statistical Model
07:44
+ The Business Problem
1 lecture 05:33
Understanding Business Problem
05:33
+ Data Identification and Discovery
4 lectures 22:01
Data Collection
04:56
Resources
00:03
Data Dictionary
04:34
Validate for correctness
12:28
+ Data Preparation
7 lectures 01:21:55
Uni-variate Analysis(Metric Approach)
15:15
Uni-variate Analysis(Visual Approach)
13:30
Missing Value
04:33
Outlier
06:56
Feature Engineering
17:46
Bi-variate and Hypothesis Testing Part-1
13:59
Bi-variate and Hypothesis Testing Part-2
09:56
+ RFM
5 lectures 01:11:56
What is RFM?
05:04
RFM Analysis
28:31
Overview of Clustering
18:43
Finding optimal number of Clusters
05:12
Creating Cluster of Employees
14:26
+ Conclusion
1 lecture 11:52
Insight and Conclusion
11:52