English | 2024 | ISBN: 978-1837637546 | 363 Pages | EPUB | 14 MB
From zero to hero with blockchain data. Learn how to travel a business data science pipeline and build real world solutions for Web 3
Key Features
- Get to grips with the blockchain´s analytics fundamentals
- Discover real world solutions by modeling blockchain data and learn to present/ deploy your projects
- Showcase your work and learn to build experience to launch your next opportunity in Web 3
Data is the new Oil and Web 3 is starting to generate lots of it. This book aims to be a step-by-step guide for a data science project with practical examples, explanations, and ideas for portfolio development. In four main blocks, independent from each other, you’ll discover the industry best practices, tools, and sources needed to navigate your way as a professional of data in Web 3. Start by understanding blockchain key concepts and the essential data science tools needed to work in Web 3 projects. Read into the next chapters to explore the main sources of data that can help cope with those industry challenges, decoding smart contracts and building datasets. Disentangle feature engineering questions that may arise when dealing with blockchain data before diving in deeper into machine learning use cases where crypto data is being used. The book includes real world examples based on interviewed executives from renowned companies that are facing technical challenges when using data to foster innovation in the Web 3 environment.
Lastly, we will learn how to build experience in crypto data that you will able to demonstrate to recruiters in job interviews, academic purposes or potential clients. By the end of this book, you will be able to build complete data science projects using blockchain data.
What you will learn
- Discover onchain and offchain data and build datasets for ERC 721 tokens
- Leverage data science to answer industry-specific business questions in Web 3
- Learn where and how to showcase your work to land a Web 3 job
- Develop a portfolio showcasing sentiment analysis and crypto art generation projects
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