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Data Science for Web3
Data Science for Web3

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

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Profile Icon Gabriela Castillo Areco
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$44.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (3 Ratings)
Paperback Dec 2023 344 pages 1st Edition
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$31.99 $35.99
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$44.99
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Arrow left icon
Profile Icon Gabriela Castillo Areco
Arrow right icon
$44.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (3 Ratings)
Paperback Dec 2023 344 pages 1st Edition
eBook
$31.99 $35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$31.99 $35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $19.99p/m

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Data Science for Web3

Where Data and Web3 Meet

As we assume no prior knowledge of data or blockchain, this chapter introduces the basic concepts of both topics. A good understanding of these concepts is essential to tackle Web3 data science projects, as we will refer to them. A Web3 data science project tries to solve a business problem or unlock new value with data; it is an example of applied science. It has two main components, the data science ingredients and the blockchain ingredients, which we will cover in this chapter.

In the Exploring the data ingredients section, we will analyze the concept of data science, available data tools, and the general steps we will follow, and provide a gentle practical introduction to Python. In the Understanding the blockchain ingredients section, we will cover what blockchain is, its main characteristics, and why it is called the internet of value.

In the final part of this chapter, we will dive into some industry concepts and how to use them. We will also analyze challenges related to the quality and standardization of data and concepts, respectively. Lastly, we will briefly review the concept of APIs and describe the ones that we will be using throughout the book.

In this chapter, we will cover the following topics:

  • What is a business data science project?
  • What are data ingredients?
  • Introducing the blockchain ingredients
  • Approaching relevant industry metrics
  • The challenges with data quality and standards
  • Classifying the APIs
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Key benefits

  • 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

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.

Who is this book 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.

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
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 29, 2023
Length: 344 pages
Edition : 1st
Language : English
ISBN-13 : 9781837637546
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Product Details

Publication date : Dec 29, 2023
Length: 344 pages
Edition : 1st
Language : English
ISBN-13 : 9781837637546
Category :
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Table of Contents

19 Chapters
Part 1 Web3 Data Analysis Basics Chevron down icon Chevron up icon
Chapter 1: Where Data and Web3 Meet Chevron down icon Chevron up icon
Chapter 2: Working with On-Chain Data Chevron down icon Chevron up icon
Chapter 3: Working with Off-Chain Data Chevron down icon Chevron up icon
Chapter 4: Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity Chevron down icon Chevron up icon
Chapter 5: Exploring Analytics on DeFi Chevron down icon Chevron up icon
Part 2 Web3 Machine Learning Cases Chevron down icon Chevron up icon
Chapter 6: Preparing and Exploring Our Data Chevron down icon Chevron up icon
Chapter 7: A Primer on Machine Learning and Deep Learning Chevron down icon Chevron up icon
Chapter 8: Sentiment Analysis – NLP and Crypto News Chevron down icon Chevron up icon
Chapter 9: Generative Art for NFTs Chevron down icon Chevron up icon
Chapter 10: A Primer on Security and Fraud Detection Chevron down icon Chevron up icon
Chapter 11: Price Prediction with Time Series Chevron down icon Chevron up icon
Chapter 12: Marketing Discovery with Graphs Chevron down icon Chevron up icon
Part 3 Appendix Chevron down icon Chevron up icon
Chapter 13: Building Experience with Crypto Data – BUIDL Chevron down icon Chevron up icon
Chapter 14: Interviews with Web3 Data Leaders Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(3 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Ravi C Mannepalli Jan 31, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Data Science for Web3" is a thought-provoking exploration of the synergy between WEB3, NFTs, and blockchains in the context of analytics. It provides a framework, and a roadmap for professionals, researchers, and enthusiasts seeking to leverage these technologies to revolutionize the way data is collected, analyzed, and utilized in the evolving digital landscape. The book paints a vivid picture of how the synergy between WEB3, NFTs, and blockchains is catalyzing a paradigm shift in analytics, fostering a future where data integrity and transparency are paramount.Highly Recommend this book.
Amazon Verified review Amazon
H2N Jan 23, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
It is a good Web3 data landscape book for data professionals, with or without a data science background, with a clear understanding of Web3's complexities, including on-chain/off-chain data, NFTs, and DeFi. It offers practical machine learning applications, career advice in the decentralized space, and diverse topics like NLP, fraud detection, and market analysis. The book is a comprehensive guide for shaping the future of the internet with Web3 data.
Amazon Verified review Amazon
Om S Jan 30, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Data Science for Web3 is like a friendly roadmap that helps you explore the exciting world of blockchain analytics. It's packed with easy-to-understand concepts, real-life examples, and smart tips for anyone curious about the future of Web3. This book guides you step by step, teaching you how to unravel the mysteries of blockchain data, find valuable insights, and create datasets for cool projects like DeFi and NFTs. With stories from industry leaders and practical exercises, it's a handy guide for both data nerds and business enthusiasts. Whether you're a pro or just dipping your toes into data science, this book is your companion to mastering the data game in the ever-evolving Web3 universe.
Amazon Verified review Amazon
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