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

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.

成為Web3未來的一部分，解讀區塊鏈數據以建立對下一代互聯網的信任。

主要特點：
- 深入了解區塊鏈分析的基礎知識
- 通過建模區塊鏈數據提取可行的業務洞察
- 展示你的工作，獲得寶貴的經驗，抓住Web3生態系統中的機遇
- 購買印刷版或Kindle電子書，包括免費的PDF電子書

書籍描述：
數據是新的石油，而Web3正在以前所未有的速度生成數據。這本全面的書籍包含實用示例、詳細解釋和組合發展的想法，作為一個逐步指南，涵蓋了在Web3中輕鬆運用數據所需的行業最佳實踐、工具和資源。

你將首先獲得對關鍵區塊鏈概念的扎實理解，以及Web3項目所必需的基本數據科學工具。接下來的章節將幫助你探索主要的數據來源，以應對行業挑戰，解讀智能合約，並建立DeFi和NFT特定的數據集。然後，你將處理特定於區塊鏈數據的特徵工程的複雜性，並熟悉利用Web3數據的多樣機器學習應用案例。

本書包括與行業領袖的訪談，提供他們在Web3環境中推動創新的見解。憑藉處理加密數據的經驗，你將能夠在求職面試、學術追求或與潛在客戶交流時展示你的技能。

通過閱讀本書，你將具備從頭到尾進行利用區塊鏈數據進行數據科學項目的基本工具，使你能夠幫助塑造下一代互聯網。

你將學到什麼：
- 理解區塊鏈交易和區塊的核心組件
- 確定可靠的鏈上和鏈下數據來源以建立強大的數據集
- 理解關鍵的Web3業務問題以及數據科學如何提供解決方案
- 建立技能，創建和查詢NFT和DeFi特定的數據集
- 在Web3領域實施具有真實世界應用案例的機器學習工具箱

本書適合對象：
本書適合數據專業人士（數據分析師、數據科學家或數據工程師）和業務專業人士，旨在獲取從Web3生態系統中提取數據的技能，並展示如何有效利用數據工具進行區塊鏈交易數據的深入分析。如果你想要實踐經驗，你可以在共享存儲庫中找到價值，從而能夠對提供的解決方案進行實驗。雖然不是必需的，但對統計學、機器學習和Python的基本理解將增強你的學習體驗。