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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

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837637546
Length 344 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Gabriela Castillo Areco Gabriela Castillo Areco
Author Profile Icon Gabriela Castillo Areco
Gabriela Castillo Areco
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Toc

Table of Contents (23) Chapters Close

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 19. Other Books You May Enjoy Appendix 1
1. Appendix 2
2. Appendix 3

Looking for a job

The primary platform to find jobs directly focused on Web3 is Crypto Jobs List, a website dedicated to Web3 opportunities. It has a specific tab for data-related roles, accessible through this link: https://cryptojobslist.com/data.

Another excellent website is Web3.career, which offers a better filter for data science jobs: https://web3.career/data-science-jobs. An alternative option is https://www.web3creators.com/web3-jobs/data-analytics. Traditional job engines such as AngelList and LinkedIn also post jobs, but their offerings are more diverse.

Larger companies typically have a Careers tab on their websites. For example, the Binance data department job search is posted at this link: https://www.binance.com/en/careers/department?name=Data%20%26%20Research&job=. You can view Dune Analytics’ job page here: https://dune.com/careers.

Networking is another approach to exploring opportunities, though it might be a longer path. Posting on LinkedIn or...

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