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DS 105FoundationL1 Certificate

Web 3.0 and Big Data Analysis in Fintech, Green and Sustainable Finance

Use AI to turn emerging financial data into evidence, and evidence into responsible decisions. Using Web3, fintech and sustainable-finance contexts, learn to identify traditional, alternative, on-chain, ESG and climate data; use generative AI to compare and challenge evidence; and complete the AI Financial Intelligence Canvas. This is not a blockchain-development, Python or machine-learning course: the focus is transferable AI Evidence & Decision Literacy.

3 hours3 modules中文 / EnglishLast verified

The course storyline: from Web3 to sustainable-finance evidence and decisions

The whole course follows one line: FRAME, SOURCE, INTERROGATE, VERIFY, DECIDE. AI may help compare and challenge evidence; the human stays responsible for the final judgment.

  1. 1. FRAME

    What decision question is being considered?

  2. 2. SOURCE

    Which data sources are most relevant and authoritative for this decision?

  3. 3. INTERROGATE

    What patterns, contradictions or gaps can AI find across multi-source evidence?

  4. 4. VERIFY

    Have the sources, assumptions and uncertainty of this evidence been checked?

  5. 5. DECIDE

    Based on the evidence so far, what decision with a stated confidence level will the human decision-maker make?

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DS 105 · Module 1: From Web3 to Programmable Finance

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Curriculum

  1. Module 1From Web3 to Programmable FinanceUnderstand why Web3 matters to finance, how tokenisation differs from digitisation, the basic fields of on-chain evidence, and practice reading a simulated transaction record with AI while separating observed facts from interpretation.Not started0 / 6 · about 60 min
  2. Module 2AI Financial Intelligence with Big DataSeparate data from evidence, learn the five evidence families and the Source Fitness matrix, and use AI as an evidence analyst while auditing an overconfident AI recommendation.Not started0 / 6 · about 60 min
  3. Module 3Sustainable Finance Decision LabUnderstand that ESG data is not the decision, learn foundation sustainable-finance vocabulary and the evidence stack, detect greenwashing risk, and make a human decision with a stated confidence level under uncertainty.Not started0 / 6 · about 60 min

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Practice and assessment

About this course

Outcomes

  • Explain how Web3, tokenisation, smart contracts and on-chain records change how financial assets and transactions can be represented and observed
  • Select suitable traditional, alternative, on-chain, ESG or climate-related data for a stated financial decision
  • Use generative AI to compare multi-source evidence and identify patterns, anomalies, contradictions and missing information
  • Distinguish fact, evidence, signal, inference, claim and recommendation
  • Detect or flag hallucination, unsupported claims, data gaps, source mismatch, selection bias, greenwashing risk and overconfidence in AI output
  • Produce an accountable recommendation that states evidence used, evidence missing, assumptions, risks, confidence level and final human judgment

Certificate

Earns a course completion certificate (L1).

Requirements to earn it

  • Complete all 3 course modules
  • Pass the post-test assessment at 80% or higher
  • Submit a project artifact

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