What this book covers

Chapter 1, Where Data and Web3 Meet, introduces the fundamental concepts of Web3 and data science tools.

Chapter 2, Working with On-Chain Data, explores the structure of on-chain data.

Chapter 3, Working with Off-Chain Data, delves into relevant off-chain data for the industry and guidance on where to locate it.

Chapter 4, Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity, examines NFT businesses and how to calculate pertinent metrics.

Chapter 5, Exploring Analytics on DeFi, introduces DeFi businesses and how to calculate essential metrics.

Chapter 6, Preparing and Exploring Our Data, showcases preprocessing steps that are useful when dealing with Web3 data.

Chapter 7, A Primer on Machine Learning and Deep Learning, delves into the core concepts necessary for advancing through the machine learning cases explored in Part 2.

Chapter 8, Sentiment Analysis – NLP and Crypto News, explores the application of natural language processing (NLP) in crypto sentiment analysis.

Chapter 9, Generative Art for NFTs, examines examples of art generation to support NFT initiatives.

Chapter 10, A Primer on Security and Fraud Detection, explores an application for fraud detection.

Chapter 11, Price Prediction with Time Series, delves into an application for predicting prices with time series.

Chapter 12, Marketing Discovery with Graphs, examines an application to identify influencers and communities with on-chain data.

Chapter 13, Building Experience with Crypto Data – BUIDL, covers various options for job searching or continuing studies in the Web3 domain.

Chapter 14, Interviews with Web3 Data Leaders, concludes the book by delving into the perspectives of Web3 data leaders regarding the industry and its future.