📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of ESG & AI for Sustainable Investing, from foundations to a certified capstone project.
Foundations
• Reporting standards: GRI, SASB, ISSB and the CSRD reporting regime
• Rating divergence between providers and its causes
• Materiality and double materiality as a framing for analysis
Extraction
• NLP over sustainability reports, filings and transcripts
• Controversy and incident detection from news and NGO sources
• Greenwashing detection: comparing stated commitment with observable action
Climate
• Scope 1, 2 and 3 accounting and the estimation of missing scope 3
• Transition and physical risk assessment under scenario pathways
• Portfolio alignment metrics and implied temperature rise
Portfolio
• Screening, tilting and integration approaches compared
• Factor overlap: distinguishing an ESG signal from quality or size
• Backtesting ESG strategies without survivorship and restatement bias
Regulation
• SFDR classification and anti-greenwashing supervision of funds
• Stewardship, voting and engagement evidence
• Documenting an ESG methodology a regulator can inspect
Earn government-registered certification in ESG & AI for Sustainable Investing
e-Certificate and e-Marksheet issued on successful completion.
