Data Science: Tips And Tricks To Learn Data Science Theories Effectively New
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This book provides a detailed explanation of the theories, algorithms, statistics, and analysis applicable to the domain of data science.
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Product Details
| Book Title | Data Science: Tips And Tricks To Learn Data Science Theories... |
| ISBN | 9781913597252 |
| Subject Area | Computers |
| Publication Name | Data Science : Tips and Tricks to Learn Data Science Theories Effectively |
| Publisher | Joiningthedotstv The Limited |
| Item Length | 9 in (22.86 cm) |
| Subject | Software Development & Engineering / Quality Assurance & Testing, Computer Science, Software Development & Engineering / Systems Analysis & Design |
| Publication Year | 2020 |
| Series | Data Science Ser. |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Item Height | 0.5 in (1.27 cm) |
| Author | William Vance |
| Item Weight | 10.8 Oz (306.18 grams) |
| Item Width | 6 in (15.24 cm) |
| Number of Pages | 224 Pages |
Who Should Buy?
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Beginners in Data Science
Ideal for individuals starting with data science concepts, offering a solid foundation and practical learning strategies.
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Professionals Upskilling
Perfect for professionals looking to enhance their existing skills with tips and tricks for applying data science theories.
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Students Pursuing Careers
Useful for students aiming for careers in data science, providing them with essential knowledge and learning resources.
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Advanced Data Scientists
Not suitable for experienced data scientists who already have in-depth knowledge and looks for more advanced topics.
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Editorial Review
Data Science Tips And Tricks To Learn Data Science Theories Effectively is a comprehensive guide authored by William Vance that delves into various essential aspects of data science. This textbook spans 224 pages and is printed in a handy trade paperback format, making it an accessible choice for learners. The book covers critical areas such as software development, quality assurance, and systems analysis, perfect for aspiring data scientists looking to grasp the foundational theories effectively. Designed for clarity, the text is structured to enhance understanding of complex topics, contributing to more efficient learning in the field of computer science. Readers appreciate its practical tips and organized content, perfect for both newbies and those brushing up on their knowledge.
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Pros
- Comprehensive guide to data science theories
- Easy-to-understand content for beginners
- Well-structured chapters enhance learning
- Practical tips applicable in real-world scenarios
- Covers various relevant subject areas
Cons
- Contains only basic introductory concepts
Product Price History
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Features & Benefits
- Provides a step-by-step guide on implementing data science theories.
- Explains the difference between linear and nonlinear regressions.
- Covers interesting areas like R programming, auctions, and data extraction.
- Includes formulas for handling, analyzing, and implementing data.
- Recommended for readers aspiring to excel in data science.
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