Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
genuine image
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
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.
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
商品＃: 22682914

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

商品＃: 22682914

JPY 14650

価格の詳細

配送料と関税を除く ( 配送料と関税は購入手続き時に計算されます )

*すべての商品はアメリカから輸入されます

在庫あり
アメリカ USA ストアからの輸入品

数量：

今すぐ注文すると 頃に届きます 水曜日, 8月 26
安全な取引安全な取引

Ubuyはお客様のセキュリティとプライバシーの保護に努めています。当社の高度な決済セキュリティシステムは、AES（高度暗号化標準）およびSSL（セキュアソケットレイヤー）プロトコルを使用して送信中の情報を暗号化することで機密性を確保しています。お客様の決済情報は第三者の販売者と共有されることはなく、100%安全に保護されています。

最高の物流パートナー
  • fedex
  • dhl
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.
U-Care保証：
なし
プランを選択してください
fast shipping

Fast
Shipping

free return

Free
Return*

安全な梱包

安全な梱包

100％正規品

100％正規品

pci-dss

PCI DSS 準拠

iso certified

ISO 27001認証取得

paypal payment
visa payment
mastercard payment
american express payment
jcb payment

この商品の利点

Dual Language Focus
Covers essential statistical concepts using both R and Python, catering to a broader audience and facilitating learning for users familiar with either programming language.
Comprehensive Coverage
Provides over 50 critical statistical concepts, ensuring readers gain a deep understanding of practical statistics, enhancing their data analysis skills and boosting their career opportunities.
Hands-On Examples
Includes practical examples and exercises, allowing readers to apply theoretical concepts in real scenarios, improving retention and fostering confidence in data science applications.

製品詳細

Shop Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python online at a best price in 日本. 149207294X
  • 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 O'Reilly Media
Publication date June 16, 2020
Edition 2nd
Language English
Print length 360 pages
ISBN-10 149207294X
ISBN-13 978-1492072942
Item Weight 1.35 pounds (610 grams)
Dimensions 7 x 0.9 x 9.1 inches (17.8 x 2.3 x 23.1 cm)

どんな人にお勧めですか？

Suitable For
  • Aspiring Data Scientists

    Ideal for those entering the field, offering foundational statistical concepts applied in R and Python.

  • Practicing Analysts

    Beneficial for current data analysts seeking to enhance their statistical skills and improve their data insights.

  • Students in Statistics

    Perfect for undergraduate or graduate students who need practical applications of statistics in data science.

Not Suitable For
  • Beginners in Programming

    Not suitable for individuals with no programming background, as concepts require familiarity with R and Python.

製品説明書

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

何か質問はありますか？ チャットでお問い合わせください

お客様の質問と回答

  • 質問: What is the main focus of 'Practical Statistics for Data Scientists'?

    回答: The book focuses on the essential statistical concepts needed for data science, presenting 50 key topics in a practical context. Each concept is explored through real-world examples that leverage R and Python, making it an ideal resource for both budding and experienced data professionals. By bridging the gap between theory and application, this book helps readers understand crucial statistical methods like regression analysis, hypothesis testing, and data visualization. It's particularly beneficial for those working in fields such as data analytics, machine learning, and business intelligence.
  • 質問: Who is the target audience for this book?

    回答: This book is designed for data scientists, analysts, and anyone interested in mastering statistics for data analysis. Whether you are a beginner looking to learn foundational concepts or a seasoned professional aiming to refresh your knowledge, the book serves a wide spectrum of expertise levels. Users of R and Python will find practical applications that enhance their coding skills alongside statistical theory, making it especially useful for professionals in tech, research, and academia.
  • 質問: What programming languages does the book emphasize?

    回答: The book emphasizes R and Python, two of the most widely used programming languages in data science. It provides readers with practical coding examples that illustrate statistical concepts using both languages. This dual approach allows practitioners to choose their preferred language while learning essential statistical techniques. Whether you're performing data manipulation in R or creating visualizations in Python, the book offers relevant insights to help enhance your coding proficiency alongside your statistical understanding.
  • 質問: What statistical concepts are covered in the book?

    回答: The book covers a wide range of statistical concepts, including descriptive statistics, probability, inferential statistics, regression analysis, and machine learning algorithms. Each topic is explained concisely, with practical examples that demonstrate their application in real-world scenarios. This comprehensive approach ensures that readers not only grasp theoretical understanding but also learn how to apply these concepts effectively in data-driven projects, making it a valuable asset for anyone involved in data analysis.
  • 質問: How does the book approach learning statistics for data science?

    回答: The book adopts a practical learning approach by providing readers with hands-on examples and exercises that reinforce the statistical concepts discussed. It simplifies complex ideas, making them accessible and applicable. For instance, it encourages readers to engage in coding practice while working through examples, which solidifies their understanding of both statistical theory and practical implementation. This methodology equips readers with the confidence to employ statistical techniques in their own data projects effectively.
  • 質問: Are there real-world examples provided in the book?

    回答: Yes, the book includes numerous real-world examples that illustrate how statistical concepts are applied in various fields. These practical scenarios help contextualize theoretical knowledge, allowing readers to see the relevance of statistics in data science, such as analyzing user behavior data or conducting A/B testing in marketing campaigns. By grounding the statistical theories in real-life applications, the book helps bridge the gap between learning and executing effective data analysis.
  • 質問: Does the book include exercises for practice?

    回答: Absolutely! The book comes with exercises that encourage readers to apply the statistical concepts they have learned. These exercises range from simple calculations to more complex problem-solving scenarios, designed to reinforce understanding and build practical skills. This makes the learning experience engaging, as readers can practice coding in R and Python while tackling real data problems. It’s an excellent way to ensure that the concepts stick and that readers gain hands-on experience.
  • 質問: How do R and Python differ in their application of statistical concepts as discussed in the book?

    回答: R is widely regarded for its statistical analysis capabilities and has extensive packages for various statistical methods, while Python provides versatile libraries suited for data manipulation and machine learning. The book illustrates these differences by showcasing how certain statistical techniques are implemented in both languages, allowing users to choose the best tool for their specific needs. This comparative approach empowers readers to understand the nuances of each language, making them well-rounded in their statistical application.
  • 質問: Is this book suitable for self-study?

    回答: Yes, 'Practical Statistics for Data Scientists' is well-suited for self-study. The clear structure, engaging examples, and practical exercises make it accessible for individuals who want to learn at their own pace. Each section builds on the last, facilitating a logical progression through statistical concepts. Whether you're diving into statistics for the first time or seeking to improve your skills, the book provides all the necessary resources for effective self-directed learning.
  • 質問: Where can I buy 'Practical Statistics for Data Scientists: 50 Essential Concepts Using R and Python 2nd Edition'?

    回答: You can buy 'Practical Statistics for Data Scientists: 50 Essential Concepts Using R and Python 2nd Edition' from Ubuy, a reliable online shopping platform available in Japan. Ubuy offers a user-friendly experience for purchasing books and other products globally, making it easy for you to order this essential resource to enhance your statistical knowledge and data science skills.

Mathematical Analysis Editorial Review

The book, although having good content, disappointed some customers due to its low quality print. The illustrations printed in black and white looked faded and the paper quality was cheap. However, the technical content was comprehensive and informative. One customer was pleased with the fast and efficient service they received after receiving a book with missing pages. The book covers R and Python content with concise and quick-to-the-point code. The book is great for beginners and those new to statistics but provides a great refresher to those looking to review some concepts. The book emphasizes practical application of statistical concepts and is great for those who want to understand the meaning behind statistical tools and applications before getting into the mathematical weeds.

お客様のレビュー＆評価

1 カスタマー評価
  • 5 星
    100%
  • 4 星
    0%
  • 3 星
    0%
  • 2 星
    0%
  • 1 星
    0%

この商品のレビュー

お考えをお聞かせください

長所

  • Comprehensive and informative technical content
  • Concise and quick-to-the-point code for R and Python content
  • Great for beginners and those new to statistics
  • Practical application of statistical concepts

短所

  • Low quality print with illustrations printed in black and white

プラットフォームの信頼性とお客様の安心

trustpilot logo
4.2/5 9250 + reviews
レビューを読む
MA
Mohammad
Verified buyer

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Verified buyer

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Verified buyer

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Verified buyer

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Verified buyer

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
安全な決済 国際配送 簡単返品 正規品保証

価格推移

重要な情報

  • 注意：国際運送の商品に関して、製造会社保障は無効になる可能性、アフターサービスは受けれない可能性、取説や安全情報は発送先の言語になっていない可能性ある。商品とその付属品は配送先の国の規格、仕様、ラベル表示法などに適応していない可能性があります。また、配送先の国の電力企画に適応しいない（アダプタや変換器を必要とする）可能性があります。ご注文の商品は配送先の国に輸入することは合法なのかを確認するのは購入者の責任になります。Ubuyからご購入の際、受け取り者は正式な輸入者となり、配送先の全ての法律やルールに遵守する必要があります。
  • Ubuyはグローバル検索エンジンのためリストにある全ての商品が購入できないことがあります。商品は輸出規制、貿易規制があります。

JPY 14650

今すぐ注文すると 頃に届きます 水曜日, 8月 26

数量：

安全な取引安全な取引

PCI DSS準拠・ISO 27001:2022認証取得。すべてのご注文に暗号化決済と充実したバイヤープロテクションが適用されます。

最高の物流パートナー
  • fedex
  • dhl
最速の国際配送

特徴と利点

  • 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

Ubuyの安心保証

100％正規品、PCI DSS準拠の決済セキュリティ、ISO 27001認証のデータ保護、最速の国際配送、無料返品※、安全な梱包をすべてのご注文でお届けします。