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Item #:
53703036
Computational Statistics in Data Science
Item #:
53703036
€ 218
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What Stands Out
Practical Applications
Integrates real-world data science challenges, providing hands-on techniques that empower readers to apply statistical methods effectively in various data-centric fields.
Comprehensive Coverage
Offers a thorough exploration of computational statistics, bridging theory and practice, ensuring that both novice and experienced data scientists gain a deep understanding of essential techniques.
User-Friendly Approach
Utilizes clear explanations and illustrative examples, making complex statistical concepts accessible, thus enhancing learning and retention for students and professionals alike.
Product Details
- An essential roadmap to the application of computational statistics in contemporary data scienceIn Computational Statistics in Data Science, a team of distinguished mathematicians and statisticians delivers an expert compilation of concepts, theories, techniques, and practices in computational statistics for readers who seek a single, standalone sourcebook on statistics in contemporary data science. The book contains multiple sections devoted to key, specific areas in computational statistics, offering modern and accessible presentations of up-to-date techniques. Computational Statistics in Data Science provides complimentary access to finalized entries in the Wiley StatsRef: Statistics Reference Online compendium. Readers will also find: A thorough introduction to computational statistics relevant and accessible to practitioners and researchers in a variety of data-intensive areasComprehensive explorations of active topics in statistics, including big data, data stream processing, quantitative visualization, and deep learningPerfect for researchers and scholars working in any field requiring intermediate and advanced computational statistics techniques, Computational Statistics in Data Science will also earn a place in the libraries of scholars researching and developing computational data-scientific technologies and statistical graphics.
| Publisher | Wiley |
| Publication date | April 25, 2022 |
| Edition | 1st |
| Language | English |
| Print length | 672 pages |
| ISBN-10 | 1119561078 |
| ISBN-13 | 978-1119561071 |
| Item Weight | 2.7 pounds (1.22 kg) |
| Dimensions | 7 x 1.1 x 9.7 inches (17.8 x 2.8 x 24.6 cm) |
Who Should Buy?
-
Data Science Students
Ideal for students pursuing data science who need a solid foundation in computational statistics techniques and applications.
-
Research Professionals
Beneficial for researchers who require advanced statistical methods to analyze complex datasets and draw meaningful conclusions.
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Statistical Analysts
Great for analysts looking to enhance their statistical toolset with computational methods for data interpretation and reporting.
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Beginner Statisticians
Not suitable for beginners with no prior knowledge of statistics, as the content may be too advanced.
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€ 218
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