Industry Use Case

HR & Workforce Analytics – Non-Hierarchical Clustering

This project introduces foundational concepts of performing non-hierarchical clustering to understand different factors affecting employee attrition and obtaining clusters based on common the common factors.

Application of Non-Hierarchical Clustering in HR Analytics Domain
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    Difficulty: Advanced

    Designed for those with a technical background or industry experience

  • Asset 1
    Difficulty: Approximately 3 hours

Course Overview

  • Employee attrition has been found to be a growing challenge faced by industries globally. This often leads to wastage of both time and resources which has detrimental consequences on a company.
  • Analyzing the different reasons that affect employee attrition is one of the important roles of HR department. Based on this understanding, it can be beneficial to plan future hirings such that there is minimal employee attrition.
  • Learn to apply different data visualization techniques to thoroughly understand the conditions affecting employee attrition and apply clustering algorithms to group employees and strategist future hiring actions.

What’s included

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Lifetime Access

Access this case study for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend accessing this case study via desktop

Skills you will learn

Data Preprocessing

Feature Reduction

PCA

Clustering Algorithms

Cluster Analysis

Cluster Visualization

Model Performance

Associated Learning Tracks

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