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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

Introductory example – listing data sources

Let’s examine this headline:

Dogecoin gains 25% after Elon Musk confirms Tesla will accept DOGE for merchandise

(Source – Cointelegraph: https://cointelegraph.com/news/dogecoin-gains-25-after-elon-musk-confirms-tesla-will-accept-doge-for-merchandise.)

This headline references three data sources:

  • Headline (news): An online newspaper specializing in the Web3 industry generates this headline. Blockchain news is gradually entering mainstream platforms, and similar information can also be found in traditional financial news indexes such as Reuters.
  • Prices: The headline refers to the price variation of a particular cryptocurrency. Price data is not typically fetched from the on-chain sources; rather, it is a piece of information data scientists find useful to integrate from a third-party data source.
  • X (formerly Twitter)/social networks: Numerous market-impact events unfold on social networks, where...
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Data Science for Web3
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