Data Science for Web3: A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases

by Gabriela Castillo Areco

​From zero to hero with blockchain data. Learn how to travel a business data science pipeline and build real world solutions for Web 3 ​Data is the new Oil and Web 3 is starting to generate lots of it. This book aims to be a step-by-step guide for a data science project with practical examples, explanations, and ideas for portfolio development. ​In four main blocks, independent from each other, you’ll discover the industry best practices, tools, and sources needed to navigate your way as a professional of data in Web 3. Start by understanding blockchain key concepts and the essential data science tools needed to work in Web 3 projects. ​Read into the next chapters to explore the main sources of data that can help cope with those industry challenge​s​, decoding smart contracts and building datasets. ​Disentangle feature engineering questions that may arise when dealing with blockchain data before diving in deeper into machine learning use cases where crypto data is being used. The book includes real world examples based on interviewed executives from renowned companies that are facing technical challenges when using data to foster innovation in the Web 3 environment. ​Lastly, we will learn how to build experience ​in​ crypto data that you will able to demonstrate to recruiters in job interviews, academic purposes or potential clients. By the end of this book, you will be able to build complete data science projects using blockchain data. ​If you are a Data Scientist, Blockchain developer, Web 3 Engineer you will learn how to extract data from the Web 3 ecosystem. If you are a business related professional additionally you will learn to use data science tools in the context of blockchain data. Some information of Data science would be needed to get the best of this book.

344 pages, Paperback

Published December 29, 2023