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Overview
Context
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 HR Analytics - Predicting Employee Churn in Python course offered by Data Camp will provide a solid basis for dealing with employee data and developing a predictive model to analyze employee turnover.
What you will do during this course:
- 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.
- You will use the Decision Tree to develop an algorithm that predicts employee turnover.
- 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.
- 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.
Programme Structure
Chapters
- HR Analytics
- Predicting employee turnover
- Evaluating the turnover prediction model
- Choosing the best turnover prediction model
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Human Resource Management Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- PREREQUISITES: Intermediate Python
- This course is designed to be suitable for beginners. No prior knowledge of HR Analytics or Python is required, but we recommend first taking the "Introduction to Tidyverse" course.
- This course is focused on developing the skills necessary for dealing with employee data and developing a predictive model to analyze employee turnover. As such, professionals in the field of HR analytics, predictive modeling, as well as data scientists and analysts would benefit from this course.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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