- Business Ethics
- Machine Learning
- Environmental Social And Corporate Governance (ESG)
- Analytics
- Financial Market
- Due Diligence
- Artificial Intelligence
- Big Data
- Sustainable Business
- Data-Driven Decision-Making
- Natural Language Processing
- Emerging Technologies
ESG Data & Accountability
Completed by Vincent Sommer D'Yvoire
December 5, 2024
20 hours (approximately)
Vincent Sommer D'Yvoire'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
