Industry Use Case

Analyzing Employee Performance with Exploratory Data Analysis

This project exposes the learner to various Data Visualization Techniques to analyze Employee Performances.

Analyzing Employee Performance with Exploratory Data Analysis
  • 1 bar graph
    Difficulty: Beginner

    No prior knowledge or experience with data required

  • Asset 1
    Duration: Approximately 2 Hours

Case Overview

  • Exploratory data analysis (EDA) is used to analyze and investigate data sets and summarize their main characteristics.
  • Any business success depends critically on the contributions of its personnel. Evaluations of performance give structure for employee career growth. Thus, discovering factors influencing employee performance is crucial for predicting employee performance.
  • For a business, employee attrition results in considerable costs, such as the price of business disruption, the cost of employing new personnel, and the cost of training new workers. Understanding the causes of staff attrition and reducing it are hence of major business interest.
  • Learn how different visualization techniques can be used to predict whether or not employee attrition affects the oeverall performance and ultimately help employees improve their overall performances.

What’s included

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Skills you will learn

Data Mining

Data Management

Data Visualization

Associated Learning Tracks

N/A

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