Data Science: The Hard Parts: Techniques for Excelling at...

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Data Science: The Hard Parts: Techniques for Excelling at Data Science

Name: Data Science: The Hard Parts: Techniques for Excelling at Data Science
ISBN: 9781098146474

Daniel Vaughan

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This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the discipline—machine learning and programming. But most of the time, these tools can only take us so far. In practice, the smaller tools and skills really separate a great data scientist from a not-so-great one.

Taken as a whole, the lessons in this book make the difference between an average data scientist candidate and a qualified data scientist working in the field. Author Daniel Vaughan has collected, extended, and used these skills to create value and train data scientists from different companies and industries.

With this book, you will:

Understand how data science creates value

Deliver compelling narratives to sell your data science project

Build a business case using unit economics...

Godina:

2023

Izdavač:

O'Reilly Media

Jezik:

english

Strane:

254