HR ANALYTICS

WORKSHOP

Who can attend?

HR staff who handle data and are expected to make recommendations based on the analysis of the data. Those who are involved in HR process improvement will also benefit from this programme. The participants must be reasonably proficient in the use of Excel and must be comfortable doing basic analysis using Excel. Last but not the least, a desire to move from the qualitative to the quantitative realm of HRM is essential!

Workshop Date

15th and 16th December 2017

Programme Venue

The Recidency Towers
Chennai

Workshop Fees

20,000 inclusive of GST

Registration Closes On

10th December 2017

Programme Content

Module 1:  Introduction
HR Analytics and its importance
Importance of data analytical skills
Measures of central tendency and dispersion

Module 2:  Understanding the bell curve, its applications and limitations
Nature of normally distributed data in HRM
Deciding whether data is normally distributed
Analyzing normally distributed data and taking appropriate decisions based on the distribution.

Module 3:  Employee surveys
Use of confidence intervals when doing surveys and reporting the data
Computing sample sizes for employee surveys and the trade-offs involved

Module 4:  Predictive Analytics
Analyzing the relation between variables
Using simple and multiple regression as a forecasting tool and also to understand the key determinants of a model
Modeling qualitative information in regression models.

Programme Takeaways

Understanding what HR analytics inolves

Learning how to use sample data to form conclusions about target populations

Analyzing the bell curve and using it wherever applicable

Understanding the issues involved in surveys both from a qualitative and quantitative perspective

Using predictive analytics for HRM.  [Note:  Predictive analytics forms a significant chunk of this programme]

Contact

Sujith Kumar
Management Development Centre
Loyola Institute of Business Administration ( LIBA )
Loyola Campus, Chennai - 600034.
Ph: 044 - 28177231 / 32 / 33
Email: sujith.kumar@liba.edu
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