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Data Science for Web3

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

Further reading

Following is a comprehensive list of resources that you can review to dive deeper into the topics covered:

Skiena, S. S. (2017). The Data Science Design Manual. Springer. (Chapter 13)
Chapter 13 of the Skiena book inspired the Appendix of this book. It is the answer to “Where to go now” once we finish our data science formation.
Dalton, S. (2012). The 2-Hour Job Search: Using Technology to Get the Right Job Faster. Random House Digital.
A methodological way to find a job we are passionate about. It is a step-by-step process that will help add order to the job search activity that in itself can be chaotic.
avcontentteam. (2023, May 10). How to Prepare for Data Science Interview in 2023? Analytics Vidhya. https://www.analyticsvidhya.com/blog/2023/04/how-to-prepare-for-data-science-interview/
DataCamp. (2022, December). Data Science Interview Preparation. Learn Data Science and AI Online | DataCamp. https://www.datacamp.com/blog/data-science...

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Authors (1)

Gabriela Castillo Areco

Gabriela Castillo Areco

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.

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