Share Description
In this course, you will:
- Discover how to compute turnover rate and investigate turnover rate across several dimensions.
- You will also discover talent segments for your analysis and combine relevant data from numerous HR data sources together to gain more meaningful insights.
- To explain employee turnover, develop new variables from existing data.
- You will examine compensation data and develop compa-ratios to assess employee pay equity.
- The idea of Information Value (IV) will be used to determine the most relevant variables impacting turnover.
- Create a logistic regression model to predict turnover while accounting for variable multicollinearity.
- Calculate the accuracy of your model and assign employees to certain risk categories. You will then develop an intervention strategy and calculate the ROI for it.
Syllabus:
- Feature Engineering
- Predicting Turnover
- Model Validation, HR Interventions, and ROI
