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

Gabriela Castillo Areco

Softcover

ISBN 10: 1837637547 ISBN 13: 9781837637546

Publisher: Packt Publishing, 2023

Synopsis

Be part of the future of Web3, decoding blockchain data to build trust in the next-generation internet

Key Features

• Build a deep understanding of the fundamentals of blockchain analytics
• Extract actionable business insights by modeling blockchain data
• Showcase your work and gain valuable experience to seize opportunities in the Web3 ecosystem
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

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.

What you will learn

• Understand the core components of blockchain transactions and blocks
• Identify reliable sources of on-chain and off-chain data to build robust datasets
• Understand key Web3 business questions and how data science can offer solutions
• Build your skills to create and query NFT- and DeFi-specific datasets
• Implement a machine learning toolbox with real-world use cases in the Web3 space

Who this book is for

This book is designed for data professionals—data analysts, data scientists, or data engineers— and business professionals, aiming to acquire the skills for extracting data from the Web3 ecosystem, as it demonstrates how to effectively leverage data tools for in-depth analysis of blockchain transactional data. If you seek hands-on experience, you'll find value in the shared repository, enabling you to experiment with the provided solutions. While not mandatory, a basic understanding of statistics, machine learning, and Python will enhance your learning experience.

Table of Contents

1. Where Data and Web3 Meet
2. Working with On-Chain Data
3. Working with Off-Chain Data
4. Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity
5. Exploring Analytics on DeFi
6. Preparing and Exploring Our Data
7. A Primer on Machine Learning and Deep Learning
8. Sentiment Analysis – NLP and Crypto News
9. Generative Art for NFTs
10. A Primer on Security and Fraud Detection
11. Price Prediction with Time Series
12. Marketing Discovery with Graphs
13. Building Experience with Crypto Data – BUIDL
14. Interviews with Web3 Data Leaders

About this title

About the Author

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.

Edition details

• Publisher: Packt Publishing
• Publication date: 2023
• ISBN 10: 1837637547
• ISBN 13: 9781837637546
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 344