People Analytics: Transforming HR Strategy with Data Science

Course Info

Date: May-05-2025

Length: 1 Week

City: Paris

Fees: 4,450

Type: In Classroom

Available Dates

  • Feb-03-2025

    Paris

  • May-05-2025

    Paris

  • Aug-04-2025

    Paris

  • Nov-03-2025

    Paris

Dates in Other Venues

  • Dec-23-2024

    Barcelona

  • Dec-23-2024

    Amsterdam

  • Dec-30-2024

    Dubai

  • Dec-30-2024

    London

  • Jan-06-2025

    London

  • Jan-06-2025

    Dubai

  • Feb-03-2025

    Kuala Lumpur

  • Feb-03-2025

    Istanbul

  • Feb-03-2025

    Barcelona

  • Feb-03-2025

    Amsterdam

  • Feb-03-2025

    Singapore

  • Mar-24-2025

    London

  • Mar-24-2025

    Dubai

  • May-05-2025

    Kuala Lumpur

  • May-05-2025

    Barcelona

  • May-05-2025

    Singapore

  • May-05-2025

    Amsterdam

  • May-05-2025

    Istanbul

  • May-19-2025

    London

  • May-19-2025

    Dubai

  • July-07-2025

    London

  • July-07-2025

    Dubai

  • Aug-04-2025

    Amsterdam

  • Aug-04-2025

    Barcelona

  • Aug-04-2025

    Istanbul

  • Aug-04-2025

    Singapore

  • Aug-04-2025

    Kuala Lumpur

  • Sep-01-2025

    London

  • Sep-01-2025

    Dubai

  • Nov-03-2025

    Istanbul

  • Nov-03-2025

    Barcelona

  • Nov-03-2025

    Singapore

  • Nov-03-2025

    Amsterdam

  • Nov-03-2025

    Kuala Lumpur

  • Dec-29-2025

    Dubai

  • Dec-29-2025

    London

Course Details

Course Outline

5 days course

 

Strategic Positioning - How do you set up a people analytics function?

 

  • Get an overview of the people analytics landscape
  • Determine the appropriate composition and positioning of your team
  • Understand how this function enables leadership to inform, optimise and align with corporate objectives
  • Secure your position as an expert decision-enabling service to the business
  • Identify the skills, objectives and resources required to achieve professional and functional maturity

 

Achieving Operational Excellence with Data: How do you organise and leverage what already exists within your organisation?

 

  • Identify and manage key stakeholders
  • Develop a pragmatic approach to people analytics projects
  • Find opportunities from data and vice versa
  • Identify where relevant data resides within organisations
  • Recognise the key benefits of data warehouses
  • Conceptualise the role of data warehousing in strategy

 

 Transforming the Workplace - What is your vision for the future of work?
 

 

  • Analyse inherent limitations of people analytics techniques within ethical scenarios
  • Develop strategies for mitigating the diverse array of risks that arise when applying machine learning to organisational challenges
  • Define a personal vision of how people analytics technologies should follow the principles of ethical leadership, corporate social responsibility, and values-oriented algorithm design
  • Examine how people analytics can transform society and the workplace for the better

 

 

Root Cause Analysis and Project Tactics - How do you ensure you solve the right problem within the appropriate timeframe?
 
  • Create project management plans for people analytics
  • Explore counter-intuitive hypotheses
  • Break down symptoms of people-related challenges into their constituent parts
  • Uncover the root causes and tackle them intelligently

 

Designing Successful Experiments - How can you best achieve scientific rigour and quality within complex and dynamic organisational settings?
 

 

  • Design experiments and formulate scientific hypotheses
  • Compare underlying measurement principles behind experimental designs
  • Draw conclusions from data analysis and communicate results to senior leadership
  • Apply scientific methods to resolve practical organisational challenges

 

 

Psychometrics - What role do latent traits have in governing workplace behaviour and how can psychological data augment people analytics efforts?
 
  • Assess the influence of latent psychological traits on workplace behaviour
  • Define criteria against which to evaluate psychometric tests
  • Present opportunities and limitations of psychometric data in strategic decision-making

 

 

Organisational Data  
 

 

  • Translate an organisational problem into a data question
  • Address corporate challenges using both structured interviews and unstructured text analytics
  • Become fluent in statistical and data science terms on a high level, to effectively lead data scientists
  • Understand the process of moving from description to prediction to prescription
  • Appreciate the differences between machine learning, AI and other predictive models
  • Analyse prepared code and simulated organisational data, including internal news boards, managerial reviews, employee surveys, emails, and unstructured text data
  • Deliver written and oral communications to keep stakeholders engaged and invested in the success of the people analytics function

Course Video