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Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications, ISBN-13: 978-3319500164
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"Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications" provides a comprehensive overview of the essential concepts and techniques in data science using Python as the primary programming language. The book covers various topics, including data manipulation, statistical analysis, machine learning, and data visualization, offering practical insights and real-world applications. It aims to equip readers with the foundational knowledge and skills needed to analyze and interpret data effectively, making it suitable for beginners as well as those looking to deepen their understanding of data science methodologies.
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Title: Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
Authors: Laura Igual, Santi SeguÃ
Publisher: Springer
Publication Year: 2017
ISBN-13: 978-3319500164
Pages: 372
Language: English
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The book "Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications" serves as a comprehensive guide for aspiring data scientists. It effectively bridges theoretical concepts and practical applications, with a focus on utilizing Python as a primary tool for data analysis. Packed with diverse examples and hands-on exercises, the text equips readers with the skills necessary to tackle real-world data challenges. From statistical fundamentals to machine learning techniques, the book offers a structured pathway for mastering data science, making it an invaluable resource for both beginners and seasoned professionals seeking to enhance their knowledge in this rapidly evolving field.
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PDF – ePub: Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
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