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  • Book Overview & Buying Data Science for Web3
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Data Science for Web3

Data Science for Web3

By : Gabriela Castillo Areco
5 (3)
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Data Science for Web3

Data Science for Web3

5 (3)
By: Gabriela Castillo Areco

Overview of this book

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.
Table of Contents (23 chapters)
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1
Part 1 Web3 Data Analysis Basics
7
Part 2 Web3 Machine Learning Cases
15
Part 3 Appendix
1
Appendix 1
2
Appendix 2
3
Appendix 3

A Primer on Security and Fraud Detection

“All warfare is based on deception.” - Sun Tzu

The history of fraud is as old as time. Fraud in the crypto world comes as no surprise, and as crypto gains mainstream adoption, it becomes increasingly necessary to be aware of the different forms of fraud in order to be able to identify it.

Fraud is a significant issue for businesses in general, for governments, and for the blockchain industry in particular. According to the 2022 PwC Global Annual Review on fraud, 46% of surveyed organizations reported experiencing some form of fraud or economic crime within the last 24 months.

Governments are aware of the issue for tax purposes, as well as to combat money laundering and terrorism financing. Relevant agencies have a mandate to enforce the law and combat such illicit activity even if cryptocurrencies are involved. Due diligence is required for all subjects associated with financial activity or money services businesses, a...

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Data Science for Web3
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