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Course Description

The need for HR professionals to understand and apply data analytics is greater than ever. Today’s successful HR professionals must ask insightful questions, understand key terms, and intelligently apply data, but may lack a clear understanding of the many forms, types, applications, interpretations, and capabilities of HR analytics. HR Analytics provides a practical approach to using data to solve real HR challenges in organizations and demystifies analytics with clear guidelines and recommendations for making the business case, starting an HR analytics function, avoiding common pitfalls, presenting data through visualization and storytelling, and much more.

GOALS AND OBJECTIVES:
Gain an understanding of the four levels of HR Analytics "Maturity" - the complexity of the data analytics a company uses to solve problems.

  • Level 1 - Operational Reporting: The fundamentals of this level of HR analytics are understanding already available data and eventually coming to an agreement as to what the data means for the company.
  • Level 2 - Advanced Reporting: The significant difference that separates Level 2 from Level 1 is the frequency of the data reporting. This level of reporting is known as proactive, routine or even automated. The top functionality at this level is simply looking at relationships between variables.
  • Level 3 - Strategic analytics: HR departments operating at Level 3 are at the beginning of thorough analysis. These analyses may occur in the form of developing causal models, or looking at how relationships between variables may affect outcomes.
  • Level 4 - Predictive analytics: The highest level of the HR analytics maturity model is defined by making predictions. HR departments functioning at Level 4 are gathering data and using it not only to predict what will happen in the future, but also to plan for it.

Learner Outcomes

Upon successful completion of this course, students will be able to:
  • Identify the HR analytics maturity level of an organization
  • Identify organizational problems that can be addressed through HR analytics
  • Explore quantitative and qualitative tools and methods
  • Use storytelling to elevate organizational insights

Prerequisites

BUSAD X450.1 Foundations of HR, commensurate professional experience in the HR field, or consent of Instructor

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Type
Online
Days
T
Time
6:00PM to 8:30PM
Dates
Oct 13, 2020 to Nov 24, 2020
Campus
Virtual Sessions
Schedule and Location
Contact Hours
18.0
Location
  • Virtual Sessions
Delivery Options
Course Fee(s)
Course fee credit (2 units) $375.00
Available for Credit
2 units
Instructors
Section Notes

Steps to Enroll (link)

Fall '20 Online: Class will run at the posted times via Zoom. Link to Zoom meeting room and additional course materials will be posted to the course page in Gauchospace.

Required Textbook:

Practical Guide to HR Analytics Paperback – June 15, 2018 by Shonna D. Waters PhD (Author)

ISBN-10: 1586445324

ISBN-13: 978-1586445324

 

Additional Info:

No refunds after 10/26/2020