HR analytics is the process of collecting and analyzing Human Resource (HR) data in order to improve an organization’s workforce performance. The process can also be referred to as talent analytics, people analytics, or even workforce analytics. This method of data analysis takes data that is routinely collected by HR and correlates it to HR and organizational objectives. Doing so provides measured evidence of how HR initiatives are contributing to the organization’s goals and strategies.
In this project, we perform an in-depth analysis of a IBM's HR data. The dataset includes information about employees, attrition, performance and much more. By analyzing this data, we can uncover trends and patterns that can help the organization in retaining it's employees.
This is a fictional data set created by IBM data scientists.
Education 1 'Below College' 2 'College' 3 'Bachelor' 4 'Master' 5 'Doctor'
EnvironmentSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High'
JobInvolvement 1 'Low' 2 'Medium' 3 'High' 4 'Very High'
JobSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High'
PerformanceRating 1 'Low' 2 'Good' 3 'Excellent' 4 'Outstanding'
RelationshipSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High'
WorkLifeBalance 1 'Bad' 2 'Good' 3 'Better' 4 'Best'
- MySQL 8.4
- MySQL Workbench 8.0 CE