People Analytics

The most important pillar on which industry resides is their own employees. Effective research outputs regarding employees, would have elements of qualitative or quantitative perspectives. Quantitative research requires collection, analysis and interpretation of large data into meaningful conclusion and long-term contribution. People analytics programme has been designed to enable HR professionals to conduct quantitative analysis meaningfully. It will familiarize participants with data and interpretation of its output using R stats and SPSS. 

Pedagogy : Case discussion, Hanson data analysis and article discussion 

 

The objectives of the programme  

  • To understand the term analytics and complexity of people data 
  • To familiarise participants with data noise different types of people related data 
  • To apply descriptive and inferential analytics for  
  • Making meaning out of the available data for people related decisions.  
  • Validation of the experience-based proposition/intuitions for managerial decisions  
  • Development of prescriptive frameworks for attracting, retaining and developing talent in the organisation. 

  

Session Plan:  

  • Introduction of the program 
  • People Analytics and its business importance 
  • Understanding HR Metrics  
  • Qualitative data: NLP and its HR usage 
  • Data driven decisions: understanding Retention practices.  
  • Predictive Models for People Analytics 
  • Participants inputs from their organisation 
  • Performance driven organization: Cluster analysis application 
  • Story telling: How to communicate data driven message 
  • Participants inputs from their organization 
  • Using Data to Engage Talent and recruit. Application of Logistic regression 
  • Understand the four key factors in measuring performance: regression to the mean, sample size, signal independence, and process versus outcome
  • Use case practitioners’ perspective
  • Group Presentation
  • Valediction

Target Participants:  HR professionals, Faculty members and researchers 

  1. Registration fees include the following:

    For all the participants:

    • Online sessions
    • Online study material
    • Certificate for course completion
  2. Refund policy

    Fees once paid can be adjusted for 1 financial year against future nominations only. In case a course is canceled on account of inadequate participation or any other unforeseeable reasons, the participants will be informed of the cancellation by e-mail or Fax and the fee will be refunded. IIM Mumbai will not be liable for any other expenses incurred by the company or the participant. Any transaction fee will not be refunded.

  3. Individual Registration

    If you wish to register & make payment, please click here Register

  4. Company-sponsored / Bulk Registration:

    • In the case of company-sponsored candidates, please share the nomination list and GST details to program@iimmumbai.ac.in for invoice generation.

      Download the INVOICE DETAILS FORM

    • Note: Discount is applicable for 5 or more participants from same organization against invoice.

Course Details

Mode Online / Virtual
Duration 18 Hrs.
Programme Dates Jan 22, 2025 to Jan 24, 2025
Program Chair Prof. Sumi Jha
Program Co-Chair --

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