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# HR Analytics: Predicting Employee Churn in Python

In this course you'll learn how to apply machine learning in the HR domain.

4 Hours14 Videos44 Exercises

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## Course Description

Among all of the business domains, HR is still the least disrupted. However, the latest developments in data collection and analysis tools and technologies allow for data driven decision-making in all dimensions, including HR. This course will provide a solid basis for dealing with employee data and developing a predictive model to analyze employee turnover.

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1. 1

### Introduction to HR Analytics

Free

In this chapter you will learn about the problems addressed by HR analytics, as well as will explore a sample HR dataset that will further be analyzed. You will describe and visualize some of the key variables, transform and manipulate the dataset to make it ready for analytics.

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Introduction and overview
50 xp
Finding categorical variables
100 xp
Observing categoricals
100 xp
Transforming categorical variables
50 xp
Encoding categories
100 xp
Getting dummies
100 xp
Dummy trap
100 xp
Descriptive statistics
50 xp
Correlations in the employee data
50 xp
Percentage of employees who churn
100 xp
2. 2

### Predicting employee turnover

This chapter introduces one of the most popular classification techniques: the Decision Tree. You will use it to develop an algorithm that predicts employee turnover.

3. 3

### Evaluating the turnover prediction model

Here, you will learn how to evaluate a model and understand how "good" it is. You will compare different trees to choose the best among them.

4. 4

### Choosing the best turnover prediction model

In this final chapter, you will learn how to use cross-validation to avoid overfitting the training data. You will also learn how to know which features are impactful, and which are negligible. Finally, you will use these newly acquired skills to build a better performing Decision Tree!

### GroupTraining 2 or more people?

Datasets

Employee turnover data

Collaborators

Prerequisites

Intermediate Python
Hrant Davtyan

Assistant Professor of Data Science at the American University of Armenia

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