Part 1 Web3 Data Analysis Basics
Chapter 1: Where Data and Web3 Meet
Exploring the data ingredients
Understanding the blockchain ingredients
Three generations of blockchain
Introducing the blockchain ingredients
Making the first transaction
Approaching Web3 industry metrics
Data standards challenges
Chapter 2: Working with On-Chain Data
Gas used and Cumulative gas used
Chapter 3: Working with Off-Chain Data
Adding prices to our dataset
Adding news to our dataset
Adding social networks to our dataset
Chapter 4: Exploring the Digital Uniqueness of NFTs
Enabling unique asset tracking on the blockchain using NFT
Introduction to the business landscape
Identity in the blockchain
Introduction to the business landscape
Redefining the art business with blockchain
Introduction to the business landscape
Floor price and wash trading
A word on anti-money laundering (AML) practices
Chapter 5: Exploring Analytics on DeFi
Stablecoins and other tokens
Understanding tokens, native assets, and the ERC-20 data structure
Lending and borrowing services on Web3
A note on protocol bad debt
Multichain protocols and cross-chain bridges
Part 2 Web3 Machine Learning Cases
Chapter 6: Preparing and Exploring Our Data
From Unix timestamps to datetime formats
Evolution of smart contracts
Exploratory Data Analysis
