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Project Title: IBM HR Analytics Employee Attrition & Performance, Tool: SQL, Domain: Data Analyst, Project Difficulties Level: Intermediate.

SQL-Mongo Project – IBM HR Analytics Employee Attrition & Performance

This project analyzes employee attrition and workforce dynamics using SQL for data exploration and Power BI for dashboarding. It uses the IBM HR Analytics Attrition & Performance dataset.

IBM HR Analytics Employee Attrition & Performance project covering data cleaning in Excel, SQL analysis in MySQL, data processing with Python, and interactive dashboard creation in Power BI.

This project explores employee attrition data using SQL to uncover insights about workforce trends, employee satisfaction, and key factors contributing to employee turnover. The dataset used comes from IBM HR Analytics and contains demographic, job-related, and performance data of employees.

An analytics project using Python, SQL, and visualization to explore IBM HR data on employee attrition, performance, and income. Includes data cleaning, EDA, statistical testing, and predictive modeling (Logistic Regression, Decision Tree) to identify key factors affecting retention and productivity.