Industry Use Case

Employee Promotion Analysis Using Statistical & Exploratory Data Analysis

This project emphasizes on building strong foundation on EDA and Statistical Analysis.

Employee Promotion Analysis Using Statistical & Exploratory Data Analysis
  • 1 bar graph
    Difficulty: Beginner

    No prior knowledge or experience with data required

  • Asset 1
    Approx. 15 hours to complete

Course Overview

  • One of the most widely used tool for presenting data is Exploratory Descriptive Analysis and Statistical Analysis which is an important Machine Learning concept for preliminary analysis of the data.
  • Employee churn poses a serious threat to a company’s ability to compete. Finding, employing, and training new staff are relatively expensive processes.
  • Because of the effects a promotion has on compensation, power, responsibility, and the capacity to influence more general organizational decision-making, promotion is regarded as a desired instrument for employee retention.
  • Working understanding of how different EDA and statistical techniques can be used for evaluating factors to be considered while identifying an eligible candidate for promotion.

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 Mining

Data Visualization

Statistical Testing

Associated Learning Tracks

N/A

How it Works

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