Mercury Learning and Information & Oswald Campesato 
Data Science Fundamentals Pocket Primer [EPUB ebook] 
An Essential Guide to Data Science Concepts and Techniques

Apoio

This book, part of the Pocket Primer series, introduces the basic concepts of data science using Python 3 and other applications. It offers a fast-paced introduction to data analytics, statistics, data visualization, linear algebra, and regular expressions. The book features numerous code samples using Python, Num Py, R, SQL, No SQL, and Pandas. Companion files with source code and color figures are available.
Understanding data science is crucial in today’s data-driven world. This book provides a comprehensive introduction, covering key areas such as Python 3, data visualization, and statistical concepts. The practical code samples and hands-on approach make it ideal for beginners and those looking to enhance their skills.
The journey begins with working with data, followed by an introduction to probability, statistics, and linear algebra. It then delves into Python, Num Py, Pandas, R, regular expressions, and SQL/No SQL, concluding with data visualization techniques. This structured approach ensures a solid foundation in data science.

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Língua Inglês ● Formato EPUB ● Páginas 450 ● ISBN 9781836645825 ● Tamanho do arquivo 2.4 MB ● Editora Packt Publishing ● Publicado 2024 ● Carregável 24 meses ● Moeda EUR ● ID 9568104 ● Proteção contra cópia sem

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