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Practical Statistics for Data Scientists, 2e: 50+ Essential Concepts Using R and Python
88% of respondents would recommend this to a friend
TWD 3007
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Practical Statistics for Data Scientists is a must-read for anyone who wants to implement statistical methods in practical data science projects. Comprehensive examples in R and Python are included, and the book's focus on the practical aspects of statistics is refreshing.
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產品詳情
- Practical Statistics for Data Scientists: 50 Essential Concepts Using R and Python 2nd Edition
- Suitable for data scientists familiar with R and/or Python and have some prior knowledge of statistics
- Authors provide an appreciation of statistics' contribution to data science
- Includes code examples in both R and Python
- Output and plots shown using R code, complete code and data sets available for download at GitHub
- Goals: lay out key statistics concepts relevant to data science and explain their importance and usefulness
| Publisher | Ou2032Reilly |
| Publication date | 29 Jun. 2020 |
| Edition | 2nd |
| Language | English |
| Print length | 360 pages |
| ISBN-10 | 149207294X |
| ISBN-13 | 978-1492072942 |
| Item weight | 612 g |
| Dimensions | 17.78 x 2.29 x 23.11 cm |
Who Should Buy?
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Aspiring Data Scientists
Ideal for beginners wanting to learn essential statistical concepts with practical applications in R and Python.
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Working Professionals
Great for professionals looking to enhance their statistical knowledge and apply it in data science projects.
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Students of Statistics
Beneficial for students needing a practical guide to statistics for academic courses and real-world application.
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Advanced Statisticians
Not suitable for experts who require complex statistical methodologies beyond the essentials covered in the book.
產品描述
Practical Statistics for Data Scientists, 2e: 50+ Essential Concepts Using R and Python
客戶問題與解答
-
問題:
Does this book include examples in Python?
Answer: Yes, the second edition of the book offers comprehensive examples in both R and Python programming languages. -
問題:
Who would benefit from reading this book?
Answer: Anyone who wants to implement statistical methods in practical data science projects would benefit from reading this book. -
問題:
What is the focus of this book?
Answer: This book focuses on the practical aspects of statistics in the context of data science.
Data Mining Editorial Review
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特色和優勢
- Comprehensive examples in Python
- Practical guidance on applying statistical methods
- Accessible, readable format
- Key preliminary step in data science
- Classification techniques for predicting
- Unsupervised learning methods
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