HR professionals to monitor and analyze diversity and inclusion metrics, such as gender, ethnicity, and age distribution within the organization.
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Updated
Aug 19, 2023
HR professionals to monitor and analyze diversity and inclusion metrics, such as gender, ethnicity, and age distribution within the organization.
This project aims to predict employee attrition using ensemble learning techniques on the HR Employee Attrition dataset. The goal is to identify factors that contribute to employee attrition and build accurate prediction models to assist HR departments in managing employee retention.
Training skills in conducting data analytics from HR, using existing data specifically focused on attrition and satisfaction. Data analytics includes descriptive, diagnostic, predictive, and prescriptive analysis.
The purpose of this report is to analyze the attrition data for an HR department. The objective of this analysis is to identify the factors that contribute to employee attrition and provide recommendations to reduce it.
This HR Dashboard project is designed to provide comprehensive insights into human resource metrics, empowering HR managers to make data-driven decisions. Utilizing Tableau, the dashboard features key sections including an Overview of HR metrics, Demographics breakdown, and Salary analysis, along with a detailed Employee Records view.
"SQL Data Analysis for HR Metrics: Insights on Work Balance, Attrition Rate, Working Years, and Monthly Income"
This project aims to explore the company HR data to understand the most paid careers, average salary of each categories and so on .
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