mkk-1817/HR-Analytics

This project empowers data-driven decisions and enhances talent management strategies through insightful analysis of HR data.

HR Analytics Project Repository

Welcome to the HR Analytics Project Repository! This project empowers data-driven decisions and enhances talent management strategies through insightful analysis of HR data.

Project Overview

• Excel File: Comprehensive company data serving as the foundation for analysis.
• Python Files: Scripts for classification, correlation, clustering, and exploratory data analysis.
• PBIX File: Interactive Power BI dashboard visualizing key HR metrics.
• Report PDF: Summarizes findings, insights, and recommendations.

Getting Started

1. Data: Examine the Excel file to understand the data structure.
2. Python Analysis: Use Python files for classification, correlation, clustering, and EDA.
3. Power BI Dashboard: Open PBIX file to explore interactive HR metrics visualization.
4. Project Report: Review PDF report for comprehensive insights and recommendations.

Dependencies

• Python (required libraries listed in Python files)
• Power BI Desktop

Usage

1. Clone/download this repository to your local environment.
2. Navigate through project files for specific components.
3. Follow steps in the 'Getting Started' section for data analysis and visualization.

Optimize your HR strategies with informed decisions! 📊👥 #HRAnalytics #DataDrivenDecisionMaking