After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
Organizational growth largely depends on staff retention. Losing employees frequently impacts the morale of the organization and hiring new employees is more expensive than retaining existing ones. Good news is that organizations can increase employee retention using data-driven intervention strategies. This course focuses on data acquisition from multiple HR sources, exploring and deriving new features, building and validating a logistic regression model, and finally, show how to calculate ROI for a potential retention strategy.
Prerequisites
Curriculum
Course outline
1
Introduction
This chapter begins with a general introduction to employee churn/turnover and reasons for turnover as shared by employees. You will learn how to calculate turnover rate and explore turnover rate across different dimensions. You will also identify talent segments for your analysis and bring together relevant data from multiple HR data sources to derive more useful insights.
- What is turnover?50 XP
- Objectives of employee turnover prediction50 XP
- Importing headcount and turnover data100 XP
- Exploring the data50 XP
- What proportion of employees have left?100 XP
- Which levels have high turnover rate?100 XP
- Is turnover rate different across locations?100 XP
- HR data architecture50 XP
- Filtering the dataset100 XP
- Combining HR datasets (I)100 XP
- Combining HR datasets (II)100 XP
- Master data overview100 XP
2
Feature Engineering
In this chapter, you will create new variables from existing data to explain employee turnover. You will analyze compensation data and create compa-ratio to measure pay equity of all employees. To identify the most important variables influencing turnover, you will use the concept of Information Value (IV).
3
Predicting Turnover
In this chapter, you will build a logistic regression model to predict turnover by taking into account multicollinearity among variables.
4
Model Validation, HR Interventions, and ROI
In this chapter, you will calculate the accuracy of your model and categorize employees into specific risk buckets. You will then formulate an intervention strategy and calculate the ROI for this strategy.
R
HR Analytics: Predicting Employee Churn in R
Course
Complete
