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

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.

Who is the target audience for this book?

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.

What programming languages does the book emphasize?

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.

What statistical concepts are covered in the book?

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.

How does the book approach learning statistics for data science?

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.

Are there real-world examples provided in the book?

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.

Does the book include exercises for practice?

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.

How do R and Python differ in their application of statistical concepts as discussed in the book?

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.

Is this book suitable for self-study?

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.

Cum să cumpărăm Practical Statistics for Data Scientists: 50+ online de la Ubuy?

Este ușor să cumpărați Practical Statistics for Data Scientists: 50+ online de la Ubuy.. Trebuie doar să căutați produsul, să alegeți metoda de expediere în timp ce faceți check-out și să îl livrați la locația dvs.

Este Practical Statistics for Data Scientists: 50+ disponibil pentru cumpărături online în Moldova?

Da, la Ubuy Moldova, acest produs este disponibil pentru cumpărături la un preț rezonabil.. Practical Statistics for Data Scientists: 50+ nu este disponibil local, dar ne puteți încrede în serviciile noastre de transport rapid.

Cât timp durează pentru a obține produsul după plasarea comenzii?

Timpul de livrare al produsului comandat variază în funcție de ceea ce ați comandat și de metoda de livrare pe care ați ales-o.. Timpul de livrare estimat este menționat în timpul procesului de finalizare a comenzii, așa că fiți fără griji când faceți cumpărături.

Vedeți originalul

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.

Articol nr.: 22682914

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

Q: Where can I buy 'Practical Statistics for Data Scientists: 50 Essential Concepts Using R and Python 2nd Edition'?

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 Moldova. 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.

Articol nr.: 22682914

MDL 1798

Detalii preț

Excluzând taxele de transport și vamale ( Taxele de transport și vamale vor fi calculate la finalizarea comenzii )

^{*Toate articolele vor fi importate din SUA}

Disponibilitate : În stoc

Importat din USA

Cant.:

Comandați acum și primiți Joi, August 27

Tranzacție securizată

Partenerii noștri principali de logistică

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.

Garanție U-Care:

Niciunul

Selectați un plan

Fast
Shipping

Retur
gratuit^*

Ambalaj sigur

Produse originale 100%

PCI DSS Compliance

ISO 27001 Certified

Note: Step Down Voltage Transformer required for using electronics products of SUA store (110-120). Recommended power converters Cumpărați Acum.

Ce Iese în evidență

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.

Detalii produs

Comprehensive examples in Python and practical guidance on applying statistical methods to data science
Covers important concepts like exploratory data analysis, random sampling, experimental design, regression, classification techniques, and statistical machine learning methods
Bridges the gap for individuals with familiarity in R or Python programming and exposure to statistics
Authors are experienced in both data science and statistics, providing valuable insights and code examples in R and Python
Accessible, readable format suitable for data scientists aiming to deepen their statistical perspective
Book's goals include laying out key statistics concepts relevant to data science and explaining 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)

Cine Ar Trebui să Cumpere?

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.

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

DESCRIEREA PRODUSULUI

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

Aveți întrebări? Discutați cu noi

Întrebări și răspunsuri ale clienților

Întrebare: Cum să cumpărăm Practical Statistics for Data Scientists: 50+ online de la Ubuy?

Răspuns: Este ușor să cumpărați Practical Statistics for Data Scientists: 50+ online de la Ubuy.. Trebuie doar să căutați produsul, să alegeți metoda de expediere în timp ce faceți check-out și să îl livrați la locația dvs.
Întrebare: Este Practical Statistics for Data Scientists: 50+ disponibil pentru cumpărături online în Moldova?

Răspuns: Da, la Ubuy Moldova, acest produs este disponibil pentru cumpărături la un preț rezonabil.. Practical Statistics for Data Scientists: 50+ nu este disponibil local, dar ne puteți încrede în serviciile noastre de transport rapid.
Întrebare: Cât timp durează pentru a obține produsul după plasarea comenzii?

Răspuns: Timpul de livrare al produsului comandat variază în funcție de ceea ce ați comandat și de metoda de livrare pe care ați ales-o.. Timpul de livrare estimat este menționat în timpul procesului de finalizare a comenzii, așa că fiți fără griji când faceți cumpărături.

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.

Recenziile și evaluările clienților

5.0

1 evaluări ale clienților

5 stele

100%
4 stele

0%
3 stele

0%
2 stele

0%
1 stele

0%

Faceți o recenzie pentru acest produs

Împărtășiți-vă părerea cu alți clienți

Pro

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

Contra

Low quality print with illustrations printed in black and white

Istoricul prețului produsului

Important

Limitări: Pentru produsele expediate la nivel internațional, vă rugăm să rețineți că este posibil ca garanția producătorului să nu fie valabilă; este posibil ca opțiunile de service ale producătorului să nu fie disponibile; este posibil ca manualele, instrucțiunile și avertismentele de siguranță ale produsului să nu fie în limba țării de destinație; este posibil ca produsele (și materialele însoțitoare) să nu fie proiectate în conformitate cu standardele, specificațiile și cerințele privind etichetarea din țara de destinație; este posibil ca produsele să nu fie conforme cu voltajul și cu alte standarde electrice din țara de destinație (necesitând utilizarea unui adaptor sau convertor, dacă este cazul). Destinatarul este responsabil pentru asigurarea faptului că produsul poate fi importat legal în țara de destinație. Când comandați de pe Ubuy sau de la afiliații acestuia, destinatarul este importatorul înregistrat și trebuie să respecte toate legile și reglementările din țara de destinație
Nu toate produsele listate pe Ubuy sunt de vânzare, deoarece Ubuy este un motor de căutare global. Produsele sunt supuse reglementărilor privind exportul/comerțul.

MDL 1798

Comandați acum și primiți Joi, August 27

Cant.:

Tranzacție securizată

Conform PCI DSS și certificat ISO 27001:2022, cu plăți criptate și protecție completă a cumpărătorului la fiecare comandă.

Partenerii noștri principali de logistică

Cea mai rapidă livrare internațională

Caracteristici și avantaje

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

Asigurare Ubuy

Bucură-te de o experiență de cumpărare fără griji, cu produse 100% originale, securitate a plăților conformă cu standardul PCI DSS, protecție a datelor certificată ISO 27001, cea mai rapidă livrare internațională, retururi gratuite și ambalare securizată pentru fiecare comandă.*

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

MDL 1798

Fast Shipping

Retur gratuit*

Ambalaj sigur

Produse originale 100%

PCI DSS Compliance

ISO 27001 Certified

Ce Iese în evidență

Detalii produs

Cine Ar Trebui să Cumpere?

DESCRIEREA PRODUSULUI

Întrebări și răspunsuri ale clienților

Mathematical Analysis Editorial Review

Recenziile și evaluările clienților

Faceți o recenzie pentru acest produs

Pro

Contra

Istoricul prețului produsului

Important

MDL 1798

Caracteristici și avantaje

Asigurare Ubuy

Fast
Shipping

Retur
gratuit^*