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.

¿Cómo comprar Practical Statistics for Data Scientists: 50+ en línea desde Ubuy?

Es fácil comprar Practical Statistics for Data Scientists: 50+ en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación.

¿Está Practical Statistics for Data Scientists: 50+ disponible para comprar en línea en Bolivia?

Sí, en Ubuy Bolivia, este producto está disponible para que lo compre a un precio razonable.. El Practical Statistics for Data Scientists: 50+ no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés.

¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?

El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.

Ver el original

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.

Nº de artículo: 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 Bolivia. 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.

90% of respondents would recommend this to a friend

Nº de artículo: 22682914

BOB 642

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

^{*All items will import from Estados Unidos}

Disponibilidad : En stock

Importado de la tienda USA

QTY:

Haz tu pedido ahora y recíbelo por ahí Sunday, Octubre 11

Secured transaction

Our Top Logistics Partners

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.

Garantía U-Care:

Ninguno

Selecciona un plan

Fast
Shipping

Free
Return^*

Secure Packaging

100% Original Products

PCI DSS Compliance

ISO 27001 Certified

What Stands Out

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.

Detalles de producto

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)
Country of Origin	This item will be imported from US
Date First Available	April 11, 2021
What is in the box	Practical Statistics for Data... For more details, please check description/product details

Who Should Buy?

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.

DESCRIPCIÓN DEL PRODUCTO

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

¿Tienes alguna consulta? Chatea con nosotros

Preguntas y respuestas de los clientes

Pregunta: ¿Cómo comprar Practical Statistics for Data Scientists: 50+ en línea desde Ubuy?

Respuesta: Es fácil comprar Practical Statistics for Data Scientists: 50+ en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación.
Pregunta: ¿Está Practical Statistics for Data Scientists: 50+ disponible para comprar en línea en Bolivia?

Respuesta: Sí, en Ubuy Bolivia, este producto está disponible para que lo compre a un precio razonable.. El Practical Statistics for Data Scientists: 50+ no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés.
Pregunta: ¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?

Respuesta: El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.

Data Mining 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.

Customer Reviews & Ratings

5.0

1 valoraciones de los clientes

5 estrella

100%
4 estrella

0%
3 estrella

0%
2 estrella

0%
1 estrella

0%

Revisar este producto

Comparte tus ideas con otros clientes

ventajas

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

Contras

Low quality print with illustrations printed in black and white

Product Price History

Información importante

Limitaciones: Para los productos enviados al extranjero, ten en cuenta que cualquier garantía del fabricante puede no ser válida; las opciones de servicio del fabricante pueden no estar disponibles; los manuales del producto, las instrucciones y las advertencias de seguridad pueden no estar en los idiomas del país de destino; los productos (y los materiales que los acompañan) pueden no estar diseñados de acuerdo con las normas, especificaciones y requisitos de etiquetado del país de destino; y los productos pueden no ajustarse al voltaje del país de destino y a otras normas eléctricas (lo que requiere el uso de un adaptador o convertidor, si procede). El destinatario es responsable de asegurarse de que el producto puede ser importado legalmente al país de destino. Cuando hagas un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir todas las leyes y normativas del país de destino.
No todos los productos que aparecen en Ubuy están a la venta, ya que Ubuy es un motor de búsqueda a nivel mundial. Los productos están sujetos a las normas de exportación/comercio.

BOB 642

Haz tu pedido ahora y recíbelo por ahí Sunday, Octubre 11

QTY:

Secured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners

Fastest cross-border delivery

características y beneficios

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 Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns ^*, and secure packaging on every order.

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

BOB 642

Fast Shipping

Free Return*

Secure Packaging

100% Original Products

PCI DSS Compliance

ISO 27001 Certified

What Stands Out

Detalles de producto

Who Should Buy?

DESCRIPCIÓN DEL PRODUCTO

Preguntas y respuestas de los clientes

Data Mining Editorial Review

Customer Reviews & Ratings

Revisar este producto

ventajas

Contras

Product Price History

Información importante

BOB 642

características y beneficios

Ubuy Assurance

Fast
Shipping

Free
Return^*