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Item #:
15705071
Data Science For Dummies, 2nd Edition 2nd Edition
99% of respondents would recommend this to a friend
Item #:
15705071
AUD 57
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What Stands Out
Comprehensive Guide
This edition offers an extensive overview of data science concepts, making it accessible for beginners while also catering to intermediate learners seeking to enhance their knowledge.
Updated Techniques
Incorporating the latest trends and tools, this book ensures readers stay current with industry practices, preparing them for real-world applications in data analysis and machine learning.
Hands-On Learning
Includes practical examples and exercises, allowing readers to apply theories in real scenarios, which solidifies understanding and builds confidence in their data science skills.
Product Details
| Publisher | For Dummies |
| Publication date | February 24, 2017 |
| Edition | 2nd |
| Language | English |
| Print length | 384 pages |
| ISBN-10 | 9781119327639 |
| ISBN-13 | 978-1119327639 |
| Item Weight | 1.12 pounds (510 grams) |
| Dimensions | 7.38 x 0.87 x 9.25 inches (18.7 x 2.2 x 23.5 cm) |
| Country of Origin | This item will be import from US |
| Date First Available | April 28, 2021 |
| What is in the box | Data Science For Dummies... For more details, please check description/product details |
Who Should Buy?
-
Beginners in Tech
Ideal for users starting their journey in data science with no prior experience or background in the field.
-
Students and Learners
Great for college students studying data-related subjects and want an accessible introduction to data science concepts.
-
Professionals Transitioning
Suitable for professionals looking to transition into data science roles, providing foundational knowledge and practical applications.
-
Advanced Data Scientists
Not suitable for experienced data scientists seeking in-depth content or advanced techniques beyond the basics.
Product Description
Data Science For Dummies, 2nd Edition 2nd Edition
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Data Processing Editorial Review
Data Science For Dummies, 2nd Edition provides a comprehensive introduction to the field of data science. The book covers a wide range of topics, including big data, data engineering, machine learning, artificial intelligence, and data visualization. The author explains complex concepts in simple terms and provides relevant examples to aid understanding. While some readers found the book to be a great starting point for their studies in data science, others felt that the material was too confusing, especially when it came to the discussion on Python. The book is praised for its content and the author's ability to explain complex topics in an accessible manner, but there are also some criticisms regarding the difficulty of the math and the lack of clarity in the coding examples.
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Pros
- Comprehensive coverage of various topics in data science
- Author explains complex concepts in simple words
- Includes relevant examples
- Great starting point for beginners
Cons
- Confusion with the material, especially the discussion on Python
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