You're reading from Data Science for Web3 A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781837637546

Length 344 pages

Edition 1st Edition

Languages

Python

Tools

Blockchain

Concepts

Blockchain

Author (1):

Gabriela Castillo Areco

View More author details

Table of Contents (23) Chapters

Preface

1. Part 1 Web3 Data Analysis Basics

2. Chapter 1: Where Data and Web3 Meet FREE CHAPTER

3. Chapter 2: Working with On-Chain Data

4. Chapter 3: Working with Off-Chain Data

5. Chapter 4: Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity

6. Chapter 5: Exploring Analytics on DeFi

7. Part 2 Web3 Machine Learning Cases

8. Chapter 6: Preparing and Exploring Our Data

9. Chapter 7: A Primer on Machine Learning and Deep Learning

10. Chapter 8: Sentiment Analysis – NLP and Crypto News

11. Chapter 9: Generative Art for NFTs

12. Chapter 10: A Primer on Security and Fraud Detection

13. Chapter 11: Price Prediction with Time Series

14. Chapter 12: Marketing Discovery with Graphs

15. Part 3 Appendix

16. Chapter 13: Building Experience with Crypto Data – BUIDL

17. Chapter 14: Interviews with Web3 Data Leaders

18. Index

Why subscribe?

19. Other Books You May Enjoy

Appendix 1

1. Appendix 2

2. Appendix 3

Where to study

Web3 data is experiencing rapid growth, and there are ample opportunities to explore this field. To accelerate your contributions, consider participating in training programs offered by various analytics companies. One highly recommended program is the Data Alchemist program, organized by the Covalent team. This program comprises four classes where a professor guides you through the dynamics and the latest market trends.

Moreover, they extend invitations to all alchemists to join a Discord server, where technical queries find prompt answers and additional resources for further study are readily available. The syllabus typically covers a range of topics, including chain and multichain analysis, decentralized exchange (DEX), NFTs, and loans.

In the last few years, there have been other training programs, such as internships that have trained data scientists, so stay tuned for those companies to start those programs again. One example was the Dune-Resident program...