ESG Data & Accountability
Completed by Matteo Franchini
September 10, 2024
20 hours (approximately)
Matteo Franchini's account is verified. Coursera certifies their successful completion of ESG Data & Accountability
What you will learn
Draw conclusions about how Big Data and artificial intelligence can aid in ESG investing analysis, and describe inherent challenges.
Differentiate between different forms of deceptive business practices, including green washing, social washing, and pink washing.
Detail how certain investors’ interests may be driving increased attention on ESG investing.
Explain why ESG remains a work in progress and list some anticipated developments.
Skills you will gain
- Category: Investments
- Category: Financial Market
- Category: Analytics
- Category: Data Collection
- Category: Natural Language Processing
- Category: Environmental Social And Corporate Governance (ESG)
- Category: Portfolio Management
- Category: Machine Learning
- Category: Due Diligence
- Category: Big Data
- Category: Artificial Intelligence
- Category: Data-Driven Decision-Making
