Course Info

Date:

2025-10-13

Length:

5 Days

Type:

In Classroom

Fees:

£ 4350

City:

Paris
Available DatesVenue
2025-07-14Paris
Available DatesOther Venue
2025-05-12Dubai
2025-06-09London
2025-07-14Kuala Lumpur
2025-07-14Amsterdam
2025-07-14Barcelona
2025-07-14Istanbul
2025-07-14Singapore
2025-07-14Dubai
2025-08-11London
2025-09-08Dubai
2025-10-13Singapore
2025-10-13Kuala Lumpur
2025-10-13London
2025-10-13Istanbul
2025-10-13Barcelona
2025-10-13Amsterdam
2025-11-10Dubai
2025-12-08London

Course Details

  • Introduction

  • Objective

  • Who should attend

  • Course Location

Incorporating Environmental, Social, and Governance (ESG) factors into business operations is increasingly vital for companies committed to sustainable growth and ethical accountability. ESG data plays a crucial role in this transformation, providing insights that help organizations understand their impact, measure performance, and improve transparency. As businesses face increasing demands for accountability from stakeholders, effective management and analysis of ESG data become essential tools for informed decision-making and strategic planning.


The ESG Data & Accountability training course offers participants a detailed exploration of the role of data in driving ESG initiatives. Over five days, attendees will examine various types of ESG data, learn how to collect and manage this data, and understand its application in business strategies and reporting. 


This course also covers key aspects of data privacy, security, and the use of advanced technologies like AI and machine learning to enhance data management. Through practical sessions and real-world examples, participants will acquire the skills necessary to leverage ESG data for sustainable business practices and robust accountability frameworks.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

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

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