Master ESG data analysis and accountability measures, from Big Data applications to identifying deceptive practices in sustainable investing.
Master ESG data analysis and accountability measures, from Big Data applications to identifying deceptive practices in sustainable investing.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full ESG Investing: Financial Decisions in Flux Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.4
(28 ratings)
3,232 already enrolled
Instructors:
English
Tiếng Việt
What you'll learn
Apply Big Data and AI techniques in ESG investment analysis
Identify and evaluate different forms of deceptive business practices
Analyze investment sentiment signals and their impact
Understand ESG data collection and accountability measures
Evaluate the role of technology in ESG investing
Skills you'll gain
This course includes:
3.5 Hours PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 8 modules in this course
This comprehensive course introduces students to data-driven resources for ESG investing analysis. The curriculum covers Big Data applications, artificial intelligence in ESG analysis, and methods for detecting deceptive marketing practices like greenwashing. Students learn about investment sentiment signals, data collection methodologies, and how technology aids in ESG accountability. The course also explores millennial investors' influence on ESG investing trends and the evolution of ESG data analytics.
Using Advanced Technology for Further Analysis
Module 1 · 1 Hours to complete
Exploring Investment Sentiment Signals: Industry Insights from Sentifi (Parts 1-3)
Module 2 · 1 Hours to complete
Exploring Investment Sentiment Signals: Industry Insights from Sentifi (Parts 4-6)
Module 3 · 5 Hours to complete
Exploring Investment Sentiment Signals: Industry Insights from Sentifi (Parts 7-8)
Module 4 · 43 Minutes to complete
Big Data & Accountability: Industry Insights - Panel Discussion (Parts 1-3)
Module 5 · 3 Hours to complete
Big Data & Accountability: Industry Insights - Panel Discussion (Parts 4-6)
Module 6 · 1 Hours to complete
Big Data & Accountability: Industry Insights - Panel Discussion (Parts 7-8)
Module 7 · 3 Hours to complete
Reading Reinforcements
Module 8 · 3 Hours to complete
Fee Structure
Instructor
Senior Market Analyst at Interactive Brokers
Steven Levine is a Senior Market Analyst at Interactive Brokers, where he has been instrumental in producing educational materials for the IBKR Campus since April 2018. He hosts webinars, writes financial market commentary, and creates instructor-led courses covering topics such as corporate and municipal bonds and ESG investing. Additionally, Steven engages audiences through podcasts that explore a wide range of subjects, including macroeconomics, monetary policy, and structured finance. He holds a BA from The New School and an MA in Media Studies from the same institution, along with certifications in financial risk management. Prior to his current role, he gained extensive experience in financial reporting and risk management across various organizations.
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4.4 course rating
28 ratings
Frequently asked questions
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