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Kurs

HR Analytics: Exploring Employee Data in R

MittelSchwierigkeitsgrad
Aktualisierte 08.2022
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
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RExploratory Data Analysis5 Std.16 Videos60 Übungen4,750 XP11,439Leistungsnachweis

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Kursbeschreibung

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.

Voraussetzungen

Introduction to Regression in R
1

Identifying the best recruiting source

Kapitel starten
2

What is driving low employee engagement?

Kapitel starten
3

Are new hires getting paid too much?

Kapitel starten
4

Are performance ratings being given consistently?

Kapitel starten
5

Improving employee safety with data

Kapitel starten
HR Analytics: Exploring Employee Data in R
Kurs
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