In this course, we’ll introduce students with basic knowledge of traditional financial products to data-driven resources they can use to complement their fundamental analysis. We’ll also highlight certain deceptive marketing practices that can paint a rosier picture of addressing ESG-related concerns than may actually be the case.
제공자:
이 강좌에 대하여
Previous investment experience is helpful but not required.
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기배울 내용
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.
귀하가 습득할 기술
- Data collection and analysis
- ESG ratings
- sentiment signals
- ESG investing disclosures
- Green washing
Previous investment experience is helpful but not required.
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기강의 계획표 - 이 강좌에서 배울 내용
Using Advanced Technology for Further Analysis
Exploring Investment Sentiment Signals: Industry Insights from Sentifi (Parts 1-3)
Exploring Investment Sentiment Signals: Industry Insights from Sentifi (Parts 4-6)
Exploring Investment Sentiment Signals: Industry Insights from Sentifi (Parts 7-8)
검토
- 5 stars53.84%
- 4 stars38.46%
- 3 stars7.69%
ESG DATA & ACCOUNTABILITY의 최상위 리뷰
Outstanding specialization! Well compiled materials. 很棒的研讨会!井井有条。Especialización magnífica! Materiales bien organizados. Выдающаяся специализация! Хорошо структурированные материалы.
helpful overview, intro to the current state of the art
ESG Investing: Financial Decisions in Flux 특화 과정 정보

자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
재정 지원을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.