Course Info

Length: 1 Week

City: London

Type: In Classroom

Available Dates

  • Dec-23-2024

    London

  • Jan-13-2025

    London

  • Mar-10-2025

    London

  • May-05-2025

    London

  • July-14-2025

    London

  • Oct-20-2025

    London

  • Dec-15-2025

    London

Dates in Other Venues

  • Dec-30-2024

    Amsterdam

  • Dec-30-2024

    Dubai

  • Dec-30-2024

    Barcelona

  • Jan-13-2025

    Dubai

  • Feb-17-2025

    Kuala Lumpur

  • Feb-17-2025

    Istanbul

  • Feb-17-2025

    Paris

  • Feb-17-2025

    Barcelona

  • Feb-17-2025

    Amsterdam

  • Feb-17-2025

    Singapore

  • Mar-10-2025

    Dubai

  • May-05-2025

    Dubai

  • May-19-2025

    Barcelona

  • May-19-2025

    Singapore

  • May-19-2025

    Amsterdam

  • May-19-2025

    Paris

  • May-19-2025

    Istanbul

  • May-19-2025

    Kuala Lumpur

  • July-14-2025

    Dubai

  • Aug-18-2025

    Paris

  • Aug-18-2025

    Amsterdam

  • Aug-18-2025

    Barcelona

  • Aug-18-2025

    Istanbul

  • Aug-18-2025

    Singapore

  • Aug-18-2025

    Kuala Lumpur

  • Oct-20-2025

    Dubai

  • Nov-17-2025

    Istanbul

  • Nov-17-2025

    Barcelona

  • Nov-17-2025

    Singapore

  • Nov-17-2025

    Amsterdam

  • Nov-17-2025

    Paris

  • Nov-17-2025

    Kuala Lumpur

  • Dec-15-2025

    Dubai

Course Details

Course Outline

5 days course

Introduction to ESG Data


  • Overview of ESG factors and principles
  • Exploring the types of ESG data:


  1. Environmental data
  2. Social data
  3. Governance data
  4. Financial data


  • Discovering the sources of ESG data
  • Characteristics of quality data
  • Recognizing the impact of ESG big data on businesses

ESG Data Implementation


  • Overview of how ESD data is used
  • Discussing the importance of ESG data in business
  • Understanding how to apply ESG data in business strategies
  • Discussing how ESG data is used in ESG rating and analyst scoring
  • Utilizing ESG data in ESG reports

ESG Data Management


  • Understanding the process and importance of ESG data management
  • Exploring methods for collecting ESG data
  • Techniques for ESG data quality assurance
  • Utilizing taxonomy to structure ESG data
  • ESG data analysis methods:


  1. Descriptive analytics
  2. Predictive analytics
  3. Prescriptive analytics


  • Developing metrics to evaluate ESG performance
  • Understanding how to report and visualize ESG data

Accountability, Privacy & Security


  • Examining the role of corporate governance in ensuring accountability
  • Exploring techniques for ensuring data privacy and security
  • Discovering data privacy and security international standards and frameworks
  • Exploring measures for controlling data security and privacy
  • The importance of engaging stakeholders to maintain transparency

ESG Data & Technology



  • Discussing the benefits of using AI and ML for ESG data management
  • Understanding how AI and ML can improve data security and privacy
  • Discussing the benefits and challenges of using cloud computing
  • Exploring various ESG data management software
  • Tools for visualizing ESG data