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  • Book Overview & Buying Data Science for Web3
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Data Science for Web3

Data Science for Web3

By : Gabriela Castillo Areco
5 (3)
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Data Science for Web3

Data Science for Web3

5 (3)
By: Gabriela Castillo Areco

Overview of this book

Data is the new oil and Web3 is generating it at an unprecedented rate. Complete with practical examples, detailed explanations, and ideas for portfolio development, this comprehensive book serves as a step-by-step guide covering the industry best practices, tools, and resources needed to easily navigate the world of data in Web3. You’ll begin by acquiring a solid understanding of key blockchain concepts and the fundamental data science tools essential for Web3 projects. The subsequent chapters will help you explore the main data sources that can help address industry challenges, decode smart contracts, and build DeFi- and NFT-specific datasets. You’ll then tackle the complexities of feature engineering specific to blockchain data and familiarize yourself with diverse machine learning use cases that leverage Web3 data. The book includes interviews with industry leaders providing insights into their professional journeys to drive innovation in the Web 3 environment. Equipped with experience in handling crypto data, you’ll be able to demonstrate your skills in job interviews, academic pursuits, or when engaging potential clients. By the end of this book, you’ll have the essential tools to undertake end-to-end data science projects utilizing blockchain data, empowering you to help shape the next-generation internet.
Table of Contents (23 chapters)
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1
Part 1 Web3 Data Analysis Basics
7
Part 2 Web3 Machine Learning Cases
15
Part 3 Appendix
1
Appendix 1
2
Appendix 2
3
Appendix 3

Summary

In this chapter, we delved into the world of DeFi, exploring its core components and the primary products offered in the sector. Our analysis covered a wide array of areas, including tokens, stablecoins, and DEXs with a focus on pools and DEX aggregation, lending and borrowing protocols, and the significance of bridges in facilitating cross-chain transactions.

In each case, we analyzed the business flow and how it generates revenue, and leveraged some of the data providers to generate aggregated metrics.

While the landscape of DeFi is ever-evolving, with new players emerging and innovative services being introduced, our focus remains on comprehending the underlying business models and mechanisms. Understanding the essence of these protocols enables us to effectively trace transactional details to construct informative metrics for further analysis.

Analytics companies play a vital role in simplifying this domain. Leveraging both on-chain and off-chain data and collaborating...

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Data Science for Web3
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