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Leading People At Work: Strategies for Talent Analytics 
offered by MIT University

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Leading People At Work: Strategies for Talent Analytics
 at 
MIT University 
Overview

Learn how and when big data can be used to make key employee decisions

Duration

3 days

Total fee

2.90 Lakh

Mode of learning

Online

Schedule type

Self paced

Course Level

UG Certificate

Leading People At Work: Strategies for Talent Analytics
 at 
MIT University 
Highlights

  • Efforts of 5-7 hours/day
Details Icon

Leading People At Work: Strategies for Talent Analytics
 at 
MIT University 
Course details

Who should do this course?
  • For general managers and staff executives responsible for hiring and managing talent
What are the course deliverables?
  • Learn a set of frameworks and theoretical models
  • Cutting-edge techniques used by companies
  • Understand how to apply big data analytics to identify, evaluate, and resolve a variety of challenges and issues relating to their workforce
  • Learn how to interpret and present the results of their analyses to make strategic people-related decision
More about this course
  • This program explores strategies that can be used to successfully design and implement a data-driven approach to improving people-related decisions in an organization
  • The program also examines how emerging analytical approaches applied to human resource management can be used to advance business objectives

Leading People At Work: Strategies for Talent Analytics
 at 
MIT University 
Curriculum

Day 1

Why Talent Analytics?

Day 2

Analyzing Jobs, Competencies, and Individua differences

Day 3

Simulation: Evaluating performance

Faculty Icon

Leading People At Work: Strategies for Talent Analytics
 at 
MIT University 
Faculty details

Emilio J. Castilla
Emilio J. Castilla is the NTU Professor of Management and a Professor of Work and Organization Studies at the MIT Sloan School of Management

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Leading People At Work: Strategies for Talent Analytics
 at 
MIT University 
Contact Information

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77 Massachusetts Ave, Cambridge, MA 02139, USA
Cambridge ( Massachusetts)

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