Python 実践データ分析100本ノック 第3版
物品 #: 194735531

Python 実践データ分析100本ノック 第3版

物品 #: 194735531

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What Stands Out

Comprehensive Exercises
Offers 100 practical challenges covering a variety of data analysis topics, ensuring users can enhance their skills through hands-on experience.
Updated Content
The third edition includes the latest Python libraries and techniques, keeping learners current with industry standards and best practices in data analysis.
User-Friendly Format
Structured in a step-by-step manner, making it accessible for beginners while also providing depth for advanced users looking to refine their data analysis capabilities.

產品詳情

Shop Python 実践データ分析100本ノック 第3版 online at a best price in 香港. 4798075663
Publisher u79c0u548cu30b7u30b9u30c6u30e0u65b0u793e
Publication date October 10, 2025
Edition Third
Language Japanese
Print length 352 pages
ISBN-10 4798075663
ISBN-13 978-4798075662
Item Weight 440 g
Dimensions 5.83 x 0.87 x 8.27 inches (14.8 x 2.2 x 21 cm)

Who Should Buy?

Suitable For
  • Data Science Beginners

    Those new to data analysis will benefit from structured exercises that build foundational skills effectively.

  • Python Practitioners

    Individuals with basic Python knowledge looking to deepen their understanding of data analysis and visualization techniques.

  • Educators and Trainers

    Teachers seeking comprehensive materials for data analysis courses can find valuable resources and examples in this book.

Not Suitable For
  • Advanced Analysts

    Experienced data analysts may find the content too basic, lacking the complexity they require for advanced projects.

產品敘述

Python 実践データ分析100本ノック 第3版

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下山輝昌 , 松田雄馬 Editorial Review

Python 実践データ分析100本ノック 第3版 is an essential guide for anyone looking to enhance their data analysis skills with Python. This third edition, published by 幸和システム新社, covers a comprehensive array of practical challenges designed to sharpen your analytical abilities across 352 pages. Readers appreciate that it combines a hands-on approach with a solid foundation in data analysis principles, making it suitable for both beginners and seasoned practitioners. The book’s format allows learners to tackle 100 practical tasks, which many reviews have highlighted as an effective method for mastering Python data analysis tactically. Furthermore, the publication date in October 2025 positions it as a current resource in the rapidly evolving world of data science, ensuring users are learning relevant techniques.

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優點

  • Hands-on approach with practical challenges
  • Comprehensive coverage of data analysis techniques
  • Suitable for both beginners and advanced users
  • Current resource in the evolving data science field
  • Well-structured for efficient learning

缺點

  • Might seem dense for absolute beginners

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