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Course Description

Analytical skills are becoming a crucial job requirement for HR as organizations strive to become more data-driven. Unfortunately, there is a shortage of analytical talent to meet this need. Less than 20% of companies identify as having a strong HR analytics function in their business, and over 75% of HR professionals reported difficulty recruiting for essential data analysis positions. To remain competitive, organizations need to rapidly upskill their HR talent. In this course students will develop and sharpen HR analytics skills as they analyze and visualize data to inform recommendations and decisions.

Drawing on his experience and research, John Hausknecht, Professor of HR Studies at Cornell’s ILR School, guides students through key steps in identifying insights from HR data and analysis. Students will review HR data, identify key questions that drive the analytical process, and explore basic calculations for correlation and regression. Taking this a step further, students will mindfully interpret findings, looking beyond data as they take a holistic view of the situations they encounter. Through a course project, students will compose a presentation to visualize essential HR data and communicate findings to key decision makers.

This course does not assume students have prior analytical training or knowledge, nor does it require access to current HR data or metrics. Using Excel and datasets provided, this program equips students with the concepts, tools, and language to start their journey in HR analytics.

Faculty Author

John Hausknecht

Benefits to the Learner

  • Frame questions and identify appropriate data sources
  • Conduct basic and intermediate analyses of HR data
  • Draw appropriate interpretations from HR output
  • Identify actionable insights and recommendations
  • Use data visualization to make the case for change

Target Audience

  • HR Associates, Managers and Directors
  • Analysts
  • CHROs and VPs of HR

Accrediting Associations

Applies Towards the Following Certificates

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Type
2 week
Dates
Nov 06, 2024 to Nov 19, 2024
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Dec 04, 2024 to Dec 17, 2024
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Jan 01, 2025 to Jan 14, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Jan 29, 2025 to Feb 11, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Feb 26, 2025 to Mar 11, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Mar 26, 2025 to Apr 08, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Apr 23, 2025 to May 06, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
May 21, 2025 to Jun 03, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Jun 18, 2025 to Jul 01, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Jul 16, 2025 to Jul 29, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Aug 13, 2025 to Aug 26, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Sep 10, 2025 to Sep 23, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Oct 08, 2025 to Oct 21, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Nov 05, 2025 to Nov 18, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Dec 03, 2025 to Dec 16, 2025
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
Type
2 week
Dates
Dec 31, 2025 to Jan 13, 2026
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $74.00
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