Data Science for Web3
Data Science for Web3
Regular price
Checking stock...
Regular price
Checking stock...
Proud to be B-Corp
Our business meets the highest standards of verified social and environmental performance, public transparency and legal accountability to balance profit and purpose. In short, we care about people and the planet.
The feel-good place to buy books
- Free delivery in Ireland
- Supporting authors with AuthorSHARE
- 100% recyclable packaging
- Proud to be a B Corp – A Business for good
- Buy-back with Ziffit
Data Science for Web3 by Gabriela Castillo Areco
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 Book DescriptionData 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 Who this book is forIf you are a Data Scientist, Blockchain developer, Web 3 Engineer you will learn how to extract data from the Web 3 ecosystem. If you are a business related professional additionally you will learn to use data science tools in the context of blockchain data. Some information of Data science would be needed to get the best of this book.
Gabriela Castillo Areco has an M. Sc. in Big Data Science from TECNUM School of Engineering, University of Navarra. Gabriela has extensive experience in both the business and data aspects of the blockchain technology. She has worked in large companies and small ventures in roles as data scientist, data engineer and blockchain consultant before her current position (at the time of publishing) in IOV Lab’s BizOps team.
| SKU | Unavailable |
| ISBN 13 | 9781837637546 |
| ISBN 10 | 1837637547 |
| Title | Data Science for Web3 |
| Author | Gabriela Castillo Areco |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Packt Publishing Limited |
| Year published | 2023-12-08 |
| Number of pages | 344 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |