You're reading from Data Science for Web3

Product typeBook

Published inDec 2023

PublisherPackt

ISBN-139781837637546

Edition1st Edition

Concepts

Data Science

Author (1)

Gabriela Castillo Areco

Part 1 Web3 Data Analysis Basics

In this part of the book, we will explore what Web3 data looks like and identify reliable sources for its extraction. Throughout the chapters, we will examine the business flow of the most important protocols and learn how to gain actionable insights from the data generated within their ecosystems.

This part includes the following chapters:

Chapter 1, Where Data and Web3 Meet
Chapter 2, Working with On-Chain Data
Chapter 3, Working with Off-Chain Data
Chapter 4, Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity
Chapter 5, Exploring Analytics on DeFi

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Data Science for Web3

Published in: Dec 2023Publisher: PacktISBN-13: 9781837637546

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Author (1)

Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.
Read more about Gabriela Castillo Areco

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