- Due Diligence
- Natural Language Processing
- Financial Market
- Business Ethics
- Machine Learning
- Data Collection
- Artificial Intelligence
- Analytics
- Sustainable Business
- Portfolio Management
- Investment Management
- Big Data
ESG Data & Accountability
Completed by Martin Nilsson
November 13, 2024
20 hours (approximately)
Martin Nilsson'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
