What topics are covered in 'Data Science Using Python and R'?

The book 'Data Science Using Python and R' provides comprehensive coverage of key concepts in data science, including statistical methods, data visualization, machine learning, and data mining techniques. It integrates Python and R, two of the most popular programming languages in data science, enabling readers to apply practical skills in real-world scenarios. This text is essential for anyone looking to enhance their understanding of data-driven decision-making in various industries.

Who is the target audience for this book?

The target audience for 'Data Science Using Python and R' includes students, professionals, and researchers in the fields of data science and analytics. It is suitable for individuals who have a foundational knowledge of programming and statistics and wish to advance their skills in data manipulation and analysis. As a resource, it serves both those new to the field and experienced practitioners looking to deepen their expertise.

How does this book compare Python and R in data analysis?

This book effectively compares Python and R, outlining the strengths and weaknesses of each in context to data analysis. It presents case studies and examples demonstrating how each language can be utilized for different data science tasks. By juxtaposing the two languages, readers can appreciate their unique features and decide which tool best fits their project needs or personal preference, enhancing their analytical versatility.

Can beginners benefit from this book?

Yes, beginners can benefit significantly from 'Data Science Using Python and R'. The book starts with foundational concepts and gradually introduces more complex topics, making it an ideal starting point for those new to data science. Practical examples accompany theoretical sections, allowing beginners to apply what they learn and build their confidence as they progress in their data science journey.

What practical applications does this book provide?

This book includes a multitude of practical applications across various domains such as finance, healthcare, and marketing. Readers can find examples of how to handle real-world data, perform exploratory data analysis, and implement machine learning models. These examples not only reinforce theoretical knowledge but also equip readers with the skills needed to tackle real problems, making it a crucial resource for aspiring data scientists.

Are there any accompanying resources with this book?

Yes, 'Data Science Using Python and R' often comes with supplementary resources. These may include access to online code repositories, datasets for practice, and instructional videos. Such resources enhance the learning experience, providing readers with additional tools to implement data analysis techniques and further their understanding of the content presented in the book.

What programming experience do I need to read this book?

While prior programming experience in Python or R is beneficial, it is not strictly necessary to begin reading 'Data Science Using Python and R'. The book is structured to cater to various skill levels, introducing programming basics alongside data science concepts. Readers are encouraged to engage with the programming languages through guided exercises, making it accessible for novices and a useful refresher for those with some experience.

How can this book aid in professional development?

Reading 'Data Science Using Python and R' can significantly aid in professional development by equipping readers with in-demand skills in data analytics and machine learning. As organizations increasingly rely on data-driven insights, knowledge of these programming languages and data science methodologies positions individuals favorably in the job market. Practicing the techniques provided in the book can help professionals adapt to evolving industry standards.

What is the importance of data mining in data science?

Data mining is a critical component of data science, as it involves extracting valuable insights and patterns from large datasets. In 'Data Science Using Python and R', readers learn various data mining techniques that can be applied to analyze trends and make predictions. This knowledge is invaluable across multiple sectors, enabling professionals to inform strategic decisions and enhance operational efficiency through data-driven practices.

كيف تتسوق Data Science Using Python and R (Wiley Series on عبر الانترنت من يوباى?

من السهل التسوق في Data Science Using Python and R (Wiley Series on عبر الإنترنت من يوباي. كل ما عليك فعله هو البحث عن المنتج واختيار طريقة الشحن الخاصة بك أثناء الدفع وسيتم توصيله الى عنوانك

هل Data Science Using Python and R (Wiley Series on متوفر للتسوق عبر الإنترنت في Bahrain؟

نعم ، في يوباي Bahrain هذا المنتج متاح لك للتسوق بسعر مناسب. Data Science Using Python and R (Wiley Series on غير متوفر محليًا ولكن يمكنك الوثوق بنا بخدماتنا للشحن السريع.

كم من الوقت يستغرق الحصول على المنتج بعد تقديم الطلب؟

يختلف وقت تسليم المنتج الذي طلبته حسب ما طلبته وطريقة الشحن التي اخترتها. يتم ذكر وقت التسليم المقدر أثناء عملية الدفع ، لذا كن مرتاحًا أثناء التسوق.

عرض الأصل

Data Science Using Python and R (Wiley Series on Methods and Applications in Data Mining)

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R.

منتج #: 16954754

Data Science Using Python and R (Wiley Series on Methods and Applications in Data Mining)

Q: Where can I buy 'Data Science Using Python and R Wiley Series on Methods and Applications in Data Mining 1st Edition'?

You can buy 'Data Science Using Python and R Wiley Series on Methods and Applications in Data Mining 1st Edition' from Ubuy. They offer a wide selection of books, including this one, and provide a reliable platform for purchasing high-quality academic materials in Bahrain. Ubuy’s user-friendly interface makes it simple to find and purchase the book, ensuring you get your hands on this essential resource.

87% من المشترين سيوصون بهذا المنتج لصديق

منتج #: 16954754

BHD 29

تفاصيل السعر

باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )

^{*سيتم استيراد جميع العناصر من أمريكا}

التوافر : متوفر فى المخزون

مستورد من متجر USA

كمية:

اطلب الآن واحصل عليه حول الجمعة, أكتوبر 16

معاملة آمنة

أفضل شركائنا اللوجستيين

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R.

Hardcover

كفالة يو كير:

لا شيء

اختر الباقة

شحن
سريع

استرجاع
مجاني^*

تغليف آمن

منتجات أصلية %100

الامتثال لمعيار PCI DSS

حاصل على شهادة ISO 27001

Note: Step Down Voltage Transformer required for using electronics products of أمريكا store (110-120). Recommended power converters اشتري الآن.

أبرز ما يلفت الانتباه

Comprehensive Coverage

Combines Python and R for data science, providing a well-rounded approach to techniques, methodologies, and applications, addressing the needs of both beginners and experienced practitioners.

Practical Examples

Includes real-world case studies and practical applications, enabling readers to apply theoretical knowledge to solve actual problems, enhancing their learning experience and skill development.

Expert Insights

Authored by industry professionals, offering authoritative guidance and best practices, which ensures readers are learning from trusted sources, increasing the credibility and value of the information provided.

تفاصيل المنتج

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R.Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R.Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining.Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars.Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets.

Publisher	Wiley
Publication date	April 9, 2019
Edition	1st
Language	English
Print length	256 pages
ISBN-10	1119526817
ISBN-13	978-1119526810
Item Weight	15.7 ounces (445.1 grams)
Dimensions	6.24 x 0.77 x 9.24 inches (15.8 x 2 x 23.5 cm)
Part of series	Wiley Series on Methods and Applications in Data Mining

من يجب أن يشتري؟

Aspiring Data Scientists
Ideal for beginners aiming to understand the foundational concepts of data science using Python and R.
Students and Academics
Perfect for university students or researchers needing a comprehensive resource for data mining methodologies.
Professionals Transitioning
Suitable for professionals seeking to switch careers to data science, providing practical tools and techniques.

Advanced Practitioners
Not ideal for experienced data scientists looking for cutting-edge techniques and advanced applications.

وصف المنتج

هل لديك أي استفسار؟ تحدث معنا

Product Buying Guide

Data Science Using Python and R offers a comprehensive guide to mastering data science using two of the most popular open-source platforms: Python and R. With a focus on practical solutions to real-world business problems, this book is suitable for both beginners and those with analytics experience.

Product Specifications

Data Science Using Python and R Wiley Series on Methods and Applications in Data Mining 1st Edition
Wiley
1st Edition
English
500 pages
Wiley
General readers with no previous analytics or programming experience, and those with analytics experience
Over 500 exercises included

Key Features

Addresses data preparation, exploratory data analysis, decision trees, model evaluation, clustering, regression modeling, and more
Emphasizes practical application of data science to solve real-world business challenges
Includes over 500 exercises and Hands-on Analysis exercises for practical skill development

Usage Scenarios

Suitable for beginners with no previous analytics or programming experience who want to learn data science using Python and R
Ideal for individuals with analytics experience looking to expand their skills and expertise in using Python and R for data science
Provides step-by-step instructions and walkthroughs for solving data science problems in the context of real-world business scenarios

Usage Scenarios

Data Science for Business by Foster Provost and Tom Fawcett
Python for Data Science For Dummies by John Paul Mueller and Luca Massaron

Some User Review

The book's clear explanations and hands-on exercises make it easy for beginners to grasp fundamental data science concepts.
As someone with previous analytics experience, I found the book to be a great resource for expanding my skills using Python and R for data science.

Competitors

Offers good value for the comprehensive coverage and practical exercises provided.

Buying Considerations

The book caters to both beginners and those with analytics experience, making it versatile for a wide range of users.
Readers can immediately apply the concepts learned to real-world business problems, enhancing the practicality of the content.

Conclusion

Data Science Using Python and R is a valuable resource for individuals looking to learn data science from scratch using Python and R, as well as for those seeking to enhance their data science skills and apply them to real-world business scenarios.

عرض أقل

أسئلة العملاء & الإجابات

سؤال: كيف تتسوق Data Science Using Python and R (Wiley Series on عبر الانترنت من يوباى?

إجابه: من السهل التسوق في Data Science Using Python and R (Wiley Series on عبر الإنترنت من يوباي. كل ما عليك فعله هو البحث عن المنتج واختيار طريقة الشحن الخاصة بك أثناء الدفع وسيتم توصيله الى عنوانك
سؤال: هل Data Science Using Python and R (Wiley Series on متوفر للتسوق عبر الإنترنت في Bahrain؟

إجابه: نعم ، في يوباي Bahrain هذا المنتج متاح لك للتسوق بسعر مناسب. Data Science Using Python and R (Wiley Series on غير متوفر محليًا ولكن يمكنك الوثوق بنا بخدماتنا للشحن السريع.
سؤال: كم من الوقت يستغرق الحصول على المنتج بعد تقديم الطلب؟

إجابه: يختلف وقت تسليم المنتج الذي طلبته حسب ما طلبته وطريقة الشحن التي اخترتها. يتم ذكر وقت التسليم المقدر أثناء عملية الدفع ، لذا كن مرتاحًا أثناء التسوق.

Python Editorial Review

لم يتم العثور على مراجعات تحريرية

مراجعات العملاء وتقييماتهم

4.3

49 تقييمات العملاء

5 نجمة

73%
4 نجمة

7%
3 نجمة

10%
2 نجمة

0%
1 نجمة

10%

أضف تقييم لهذا المنتج

شارك أفكارك مع عملاء آخرين

تاريخ سعر المنتج

معلومات مهمة

القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
ليست كل المنتجات المدرجة على يوباي معروضة للبيع، لأن يوباي هو محرك بحث عالمي. المنتجات تخضع للوائح التصدير / التجارة.

BHD 29

اطلب الآن واحصل عليه حول الجمعة, أكتوبر 16

كمية:

معاملة آمنة

نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.

أفضل شركائنا اللوجستيين

أسرع توصيل عبر الحدود

المميزات والفوائد

Learn data science using Python and R.
The book provides step-by-step instructions and walk-throughs for solving data science problems.
It covers several topics including data preparation, exploratory data analysis, decision trees, regression modeling, and more.
It emphasizes data-driven error costs to enhance profitability.
It includes over 500 exercises and Hands-on Analysis exercises to challenge readers.
Recommended for the general reader with no previous analytics or programming experience.

ضمان Ubuy

تسوّق بثقة مع منتجات أصلية %100، ومدفوعات آمنة متوافقة مع معيار PCI DSS، وحماية بيانات معتمدة وفق ISO 27001، وشحن دولي سريع، وإرجاع مجاني^*، وتغليف آمن لكل طلب.

Data Science Using Python and R (Wiley Series on Methods and Applications in Data Mining)

BHD 29

شحن سريع

استرجاع مجاني*

تغليف آمن

منتجات أصلية %100

الامتثال لمعيار PCI DSS

حاصل على شهادة ISO 27001

أبرز ما يلفت الانتباه

تفاصيل المنتج

من يجب أن يشتري؟

وصف المنتج

Product Buying Guide

Product Specifications

Key Features

Usage Scenarios

Usage Scenarios

Some User Review

Competitors

Buying Considerations

Conclusion

أسئلة العملاء & الإجابات

Python Editorial Review

مراجعات العملاء وتقييماتهم

أضف تقييم لهذا المنتج

تاريخ سعر المنتج

معلومات مهمة

BHD 29

المميزات والفوائد

ضمان Ubuy

شحن
سريع

استرجاع
مجاني^*