Course Description

This course will provide an overview of the foundational knowledge and skills of Human Resources analytics. Students will explore the purpose of HR analytics, the application to Human Resources and how it can be used to make data-driven decisions that impact the success of a business and its people. Through the course students will explore a combination of broadly applicable skills including data and analysis, as well as more specific applications such as workforce planning, forecasting and deriving data-driven insights in making talent decisions.

Course Details

By completion of this course, successful students will be able to:

  • Articulate how HR analytics benefit organizations across key HR pillars: workforce planning, talent attraction, retention, engagement and employee development
  • Identify data requirements for various HR analytics pillars: the common forms, locations of data, and how to structure data
  • Analyze data for various current and predictive insights within HR analytics 
  • Apply basic statistics to derive data-driven insights
  • Create an HR analytics data model

Applies Towards the Following Certificate(s)


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8:30AM to 4:00PM
Mar 07, 2020 to Mar 21, 2020
Schedule and Location
Delivery Options
Course Fees
Flat Fee non-credit $495.00
Reading List / Textbook

Title: "People Analytics in the Era of Big Data: Changing the Way You Attract, Acquire, Develop, and Retain Talent"
Authors: Isson, Jean Paul; Harriott, Jesse S.; Fitz-enz, Jac
Publisher: Wiley
Edition: April 25, 2016
ISBN-10: 1119050782
ISBN-13: 978-1119050780

University of Calgary Bookstore: 403.220.5937 (toll-free 1.877.220.5937) https://www.calgarybookstore.ca/
Section Notes

This course uses Desire2Learn (D2L), an online learning management system. The instructor will post the course outline and other materials in D2L. For more information about D2L, please visit our Online Learning Resources.

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

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