HR Analytics – The New Science of Data-Driven Human Resource Management

HR Science

Do you know which is the most sought after skill among HR professionals in 2014?

It is analytics.

More than 85% of HR professionals feel they will be able to do their job better if they pick up data analysis skills. (Source)

I have been reading about Jigsaw Academy's new HR Analytics Training Course. HR Analytics is a remarkably interesting new field -- or, one could say, an old field with exciting new dimensions! The application of data science techniques to human resource management is truly making a science out of one of the most important (if not, the most important) part of your business -- the people! Several studies and articles have discussed this topic in the past 2 years, including:

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The field was given a detailed blueprint in a visionary book from 2010: "The New HR Analytics: Predicting the Economic Value of Your Company's Human Capital Investments" (by Jac Fitz-enz), which truly focused on HR Analytics as a data science, with metrics and models as the cornerstones of the book.

HR Analytics Certification

The rapid maturity in this field is now seen in the emergence of HR Analytics training programs. One of the best opportunities for such training comes from well known Data Science and Analytics Training provider,Jigsaw Academy, who offers a nice variety of other courses for Big Data and Data Science practitioners: Financial Analytics, Retail Analytics, Analytics with R, Data Scientist Certification, and Business Analytics (the latter offered jointly with Great Lakes Institute of Management). You can preview the plans and content for Jigsaw's new HR Analytics Certification course by examining their Course Brochure[PDF].

Here are 10 attributes of this program that make it worth considering:

  1. The course is online, and can be taken it from anywhere in the world.
  2. The course is very affordable, and Jigsaw is offering discounted tuition if you enroll now.
  3. The course covers the history, process, and data sources of HR Analytics.
  4. It covers data visualization, data exploration, and reporting.
  5. It covers Data Science from the perspective of Business Understanding.
  6. It covers Predictive Analytics: time series forecasting.
  7. It covers other forms of Predictive Modeling: decision trees, regression analysis.
  8. It demonstrates how to create a corporate HR policy based on Analytics.
  9. No prior knowledge of statistics is required.
  10. All of this learning is applied to 5 case studies in online lab sessions.

Case studies will provide hands-on experience in using analytics to perform the following HR functions:

  • Predict employee attrition
  • Measure training effectiveness
  • Calculate cost of human capital
  • Create a corporate HR policy based on Analytics.

The course is designed to enable HR professionals and MBAs to perform analytics on any kind of HR data.  Participants will be able to use these skills to make data-driven decisions at work.  Beyond the HR focus, the course provides any business professional with essential training and experience in the tools, techniques, and applications of Data Science and Analytics for Big Data problems in the workplace.

Dr. Kirk Borne is a Data Scientist and Professor of Astrophysics and Computational Science in the George Mason University School of Physics, Astronomy, and Computational Sciences. He received his B.S. degree in physics from LSU and his Ph.D. in astronomy from the California Institute of Technology. He has been at Mason since 2003, where he teaches graduate and undergraduate courses in Data Science and advises many doctoral dissertation students in Data Science research projects. He focuses on achieving big discoveries from big data and promotes the use of data-centric experiences with big data in the STEM education pipeline at all levels. He promotes the "Borne Ultimatum" -- data literacy for all!

Connect with Kirk on LinkedIn.

Follow Kirk on Twitter at @KirkDBorne.

Find links to his blogs, courses taught, and publication listings at http://kirkborne.net/