Data Science for Web3: A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
Author: Gabriela Castillo Areco (Author), José Dahlquist (Foreword)
Publisher finelybook 出版社: Packt Publishing
Publication Date 出版日期: 2023-12-29
Language 语言: English
Print Length 页数: 344 pages
ISBN-10: 1837637547
ISBN-13: 9781837637546
Book Description
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
By finelybook
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
- Where Data and Web3 Meet
- Working with On-Chain Data
- Working with Off-Chain Data
- Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity
- Exploring Analytics on DeFi
- Preparing and Exploring Our Data
- A Primer on Machine Learning and Deep Learning
- Sentiment Analysis – NLP and Crypto News
- Generative Art for NFTs
- A Primer on Security and Fraud Detection
- Price Prediction with Time Series
- Marketing Discovery with Graphs
- Building Experience with Crypto Data – BUIDL
- Interviews with Web3 Data Leaders
