course
HR Analytics: Exploring Employee Data in R
Intermediate
Updated 12/2024Start course for free
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RExploratory Data Analysis5 hours16 videos60 exercises4,750 XP11,030Statement of Accomplishment
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Course Description
Get to Grips with HR Data Analytics
Businesses are increasingly counting on their human resources departments to answer questions, provide insights, and make recommendations using data about their employees. This process is known as HR analytics, people analytics, talent analytics, or workforce analytics.HR analytics has become increasingly important as businesses realize how employee data plays a big role in business decision making. Taught by a People Analytics Partner at Facebook, Ben Teusch, you will learn the best practices of HR analytics and apply it to a number of practical exercises.
Learn to Analyze Recruitment and Employee Safety Data
This course starts off by introducing the basics of HR analytics. Next, you will explore a case study where you'll analyze and visualize recruiting data to determine which source of new candidates ultimately produces the best new hires.The last chapter explores employee safety data. Here, you will work on how you can use data to improve workplace environments. This interactive course will provide you with a set of guiding questions to help you look for explanations for an increase in workplace accidents.
Upon completing this course, you will be able to manipulate, visualize, and perform statistical tests on HR data through a series of HR analytics case studies.
Prerequisites
Introduction to Regression in R1
Identifying the best recruiting source
2
What is driving low employee engagement?
3
Are new hires getting paid too much?
4
Are performance ratings being given consistently?
5
Improving employee safety with data
HR Analytics: Exploring Employee Data in R
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