Employees Attrition Analysis

The Employee Attrition Analysis project is a data analysis project that aims to identify and analyze the factors that contribute to employee attrition in a hypothetical company. The analysis is done using Power BI, a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities.

The project involves analyzing a dataset that includes information on employee demographics, job-related factors, and performance metrics. The dataset is preprocessed and cleaned to remove any missing or irrelevant data. Then, different visualizations are created using Power BI to explore the data and identify patterns and trends related to employee attrition.

The analysis focuses on factors such as job satisfaction, work-life balance, compensation, and performance evaluation. Different visualizations are created to analyze these factors, including scatter plots, bar charts, and heatmaps. The visualizations are used to identify correlations and patterns that can help in understanding the reasons behind employee attrition.

The project also involves creating a predictive model using Power BI that can help in identifying employees who are at risk of leaving the company. The model is trained using the historical data and different machine learning algorithms are used to generate the best predictive model.

Overall, the Employee Attrition Analysis project using Power BI is a valuable resource for companies looking to reduce employee attrition rates. The project provides insights into the factors that contribute to employee attrition and helps in developing strategies to retain employees.