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Nº de artículo:
127955995
Pythonによるあたらしいデータ分析の教科書 第3版 AI & TECHNOLOGY
86% of respondents would recommend this to a friend
Nº de artículo:
127955995
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A must-have for data analysis engineers to acquire basic knowledge in the shortest possible time.
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What Stands Out
Comprehensive Coverage
This textbook provides an extensive exploration of data analysis techniques using Python, making it suitable for both beginners and experienced users looking to enhance their skills in a structured format.
Practical Examples
Filled with real-world examples, the book bridges the gap between theory and practice, ensuring readers can apply concepts to solving actual data problems efficiently and effectively.
Updated Content
The third edition incorporates the latest advancements and best practices in Python for data analysis, offering readers updated tools and methodologies to keep up with the fast-evolving data landscape.
Detalles de producto
- 最新環境に対応した第3版の登場！データ分析エンジニア必携の基本知識を最短で習得できる【本書の概要】本書はデータ分析エンジニアに必要な以下の基礎知識についてサンプルを交えながら丁寧に解説します。・データの取得・加工・データの可視化・プログラミング・基礎的な数学の知識・機械学習の流れや実行方法【第3版のポイント】・Pythonデータ分析試験の主教材に指定・Python 3.13に対応・各種ライブラリの最新版への対応【本書で学べること】・Pythonの基本的な文法・データフォーマットについて・データの前処理技術・データの可視化技術・既存アルゴリズムでの機械学習の実装方法【対象読者】データ分析エンジニアを目指す方【目次】Chapter1 データ分析エンジニアの役割Chapter2 Pythonと環境Chapter3 数学の基礎Chapter4 ライブラリによる分析の実践Chapter5 応用：データ収集と加工
| Publisher | 翔泳社 |
| Publication date | May 21, 2025 |
| Language | Japanese |
| Print length | 344 pages |
| ISBN-10 | 4798191027 |
| ISBN-13 | 978-4798191027 |
| Item Weight | 430 g |
| Dimensions | 8.27 x 5.83 x 0.71 inches (21 x 14.8 x 1.8 cm) |
Who Should Buy?
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Students
Ideal for university students studying data analysis and seeking practical Python applications to enhance their learning.
-
Aspiring Analysts
Beginners aiming to enter data analysis should find comprehensive insights and examples crucial for understanding Python usage.
-
Educators
Instructors looking for a structured curriculum resource that combines theory with hands-on coding examples will benefit significantly.
-
Advanced Users
Data professionals with extensive knowledge may not find advanced topics or insights they require within this textbook.
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Preguntas y respuestas de los clientes
-
Pregunta:
What is the target audience for this book?
Respuesta: The book is aimed at those who aspire to become data analysis engineers. -
Pregunta:
What programming language does this edition focus on?
Respuesta: This third edition focuses on Python, specifically version 3.13. -
Pregunta:
Will this book help me prepare for the Python data analysis exam?
Respuesta: Yes, it is specified as the main teaching material for the Python data analysis exam.
寺田 学 , 辻 真吾 , 鈴木 たかのり Editorial Review
**** The third edition of "Pythonによるあたらしいデータ分析の教科書" is a comprehensive resource for anyone eager to dive into data analysis using Python. The book effectively guides readers from fundamental mathematical concepts necessary for data analysis all the way through practical applications employing popular libraries such as NumPy, pandas, Matplotlib, and scikit-learn. Reviewers appreciate its structured approach, which gradually increases in complexity, allowing readers to build understanding step-by-step. The practical focus, illustrated through numerous concise code examples, makes this textbook an excellent choice for those curious about practical data analysis as well as seasoned programmers looking to enhance their skills. Readers note that the book succinctly encapsulates the entire process of data analysis, from data collection to preprocessing, visualization, and machine learning. While the book is filled with valuable content, some users have pointed out that certain specialized terms could benefit from more comprehensive explanations. As a result, beginners might find it helpful to supplement their learning with additional resources. Despite this, the overall impression is that this text is a solid foundation for anyone serious about learning data analysis through Python, and highly recommended for both novice and experienced users alike. **
Customer Reviews & Ratings
39 valoraciones de los clientes
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5 estrella
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ventajas
- Comprehensive coverage of data analysis using Python.
- Structured content that increases in difficulty, promoting gradual learning.
- Numerous practical examples of code, enhancing hands-on learning.
- Well-suited for a wide audience, from beginners to experienced programmers.
Contras
- Some explanations of specialized terms may be overly simplistic for beginners.
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características y beneficios
- Third edition compatible with Python 3.13 and latest libraries.
- Essential for aspiring data analysis engineers.
- Covers data acquisition, processing, visualization, and machine learning.
- Explains basic Python grammar and data formats.
- Includes sample exercises for practical understanding.
- Main teaching material for the Python data analysis exam.
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