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The Data Science Handbook
75% of respondents would recommend this to a friend
NZD 205
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This book provides a crash course in data science, combining all the necessary skills into a unified discipline.
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What Stands Out
Product Details
| Publisher | Wiley |
| Publication date | February 28, 2017 |
| Edition | 1st |
| Language | English |
| Print length | 416 pages |
| ISBN-10 | 1119092949 |
| ISBN-13 | 978-1119092940 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 6 x 0.9 x 9.4 inches (15.2 x 2.3 x 23.9 cm) |
Who Should Buy?
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Aspiring Data Scientists
Provides foundational knowledge and practical skills necessary to enter the data science field effectively.
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Professionals in Tech
Enhances existing technical skills by introducing data science concepts and applications relevant to various industries.
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Students in STEM
Serves as a valuable resource for students looking to expand their understanding of data analytics and statistics.
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Complete Beginners
Lacks the basic introductory material that complete novices may require to grasp fundamental concepts.
Product Description
The Data Science Handbook
Product Buying Guide
The Data Science Handbook 1st Edition is a comprehensive resource for individuals looking to master the discipline of data science. It provides a crash course in data science, combining the necessary technical skills with a focus on critical thinking and creativity. This buying guide aims to provide potential buyers with key information about the product, including specifications, features and benefits, usage scenarios, a comparison with competitors, user reviews, price analysis, and buying considerations.
Product Specifications
- Title: The Data Science Handbook 1st Edition
- Author: FIELD CADY
- Publication: 1st Edition
- Format: Paperback
- Pages: Varies
- Language: English
Key Features
- Comprehensive overview of data science
- Includes analytics, programming, and business skills
- Extensive coverage of computer science and software engineering
- In-depth exploration of machine learning algorithms
- Highlighting the importance of data visualization
- Includes coverage of classical statistics
- Focus on clear communication of technical results
- Sample code and tutorials using Python
- Coverage of 'Big Data' technologies
- Real-world case studies
- Practical advice for data scientists
- Suitable for both beginners and experienced professionals
Usage Scenarios
- Data analysis and interpretation
- Developing data science skills
- Understanding analytics for software professionals
- Expanding skill sets for statisticians
- Reference for researchers and entry-level graduate students
Usage Scenarios
- Data Science for Business by Foster Provost and Tom Fawcett
- The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
Some User Review
- I found The Data Science Handbook to be an invaluable resource in my journey to become a data scientist. The author covers all the necessary skills and provides practical advice for real-world applications. The inclusion of sample code and tutorials using Python was particularly helpful. Highly recommended!
- This book is a great resource for anyone interested in data science. It covers a wide range of topics in a comprehensive and easy-to-understand manner. The case studies and practical advice provided make it a valuable asset for both beginners and experienced professionals.
- The Data Science Handbook provides a holistic view of the field, combining technical skills with critical thinking and creativity. The author's expertise shines through in the clear explanations and real-world examples. I would definitely recommend this book to anyone looking to excel in data science.
Competitors
- The price of The Data Science Handbook 1st Edition is competitive compared to similar books in the market. Considering the comprehensive coverage and practical insights provided, it offers great value for the price. It is worth noting that prices may vary among different retailers.
- It is advisable to compare prices from different retailers to ensure the best deal. Keep an eye out for any discounts or promotions that may be available. Additionally, consider purchasing the book in digital format for potential cost savings.
- Considering the potential career advancement opportunities and knowledge acquisition offered by The Data Science Handbook, investing in this resource is a wise decision for individuals serious about excelling in the field of data science.
Buying Considerations
- Consider your current skill set and experience level in data science. The Data Science Handbook is suitable for both beginners and experienced professionals, but it may be more beneficial for those looking to build a strong foundation or expand their skill set.
- Evaluate your specific needs and goals in the field of data science. This book covers a wide range of topics, but it's important to ensure that it aligns with your areas of interest and intended applications.
- Research the availability of additional resources and complementary materials. The Data Science Handbook serves as a comprehensive guide, but supplementing it with other books, online tutorials, or courses may enhance your learning experience.
- Check the publication date of the book and consider any updates or advancements in the field of data science since then. While the fundamentals of data science remain relevant, staying up-to-date with the latest trends and technologies is crucial.
- Read user reviews and gather insights from others who have used The Data Science Handbook. Their experiences and feedback can provide valuable information to help you make an informed buying decision.
Conclusion
In conclusion, The Data Science Handbook 1st Edition is a must-have resource for anyone interested in data science. It offers a comprehensive overview of the discipline, covering analytics, programming, and business skills. With its focus on critical thinking, creativity, and practical applications, this book is suitable for beginners and experienced professionals alike. The inclusion of sample code, tutorials, and real-world case studies enhances the learning experience. Considering its competitive price and the value it offers, investing in The Data Science Handbook is a smart choice for individuals looking to excel in the field of data science.
View LessThe Data Science Handbook 1st Edition is a comprehensive resource for individuals looking to master the discipline of data science. It provides a crash course in data science, combining the necessary technical skills with a focus on critical thinking and creativity. This buying guide aims to provide potential buyers with key information about the product, including specifications, features and benefits, usage scenarios, a comparison with competitors, user reviews, price analysis, and buying considerations. Continue Reading
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Probability & Statistics Editorial Review
The Data Science Handbook is a concise and informative guide for data science practitioners and enthusiasts. The book covers a range of topics including machine learning algorithms, programming tips, and real-life applications. The theoretical aspects are presented in a succinct and clear manner, while practical examples are provided with adequate detail. The author's advice and thoughts throughout the book are valuable for anyone looking to pursue a career in data science. The book is well written and easy to read, with a conversational style that engages the reader.
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Pros
- Covers a range of topics including machine learning algorithms and real-life applications
- Practical examples provided with adequate detail
- Author's advice and thoughts are valuable for anyone pursuing a career in data science
- Well written and easy to read
Cons
- Half the pages were stuck together in one copy
Product Price History
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NZD 205
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Features & Benefits
- Comprehensive overview of data science
- Combines necessary skills into a unified discipline
- Extensive coverage of computer science and software engineering
- Practical advice for data scientists
- Includes case studies from industry
- Appropriate for software professionals and statisticians
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