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3526794
Practical Statistics for Data Scientists: 50 Essential Concepts
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Item #:
3526794
AZN 121
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What Stands Out
Essential Concepts
Covers 50 vital statistical concepts tailored for data scientists, ensuring a solid foundation to analyze data effectively and draw meaningful conclusions in real-world scenarios.
Practical Applications
Focuses on practical applications of statistics in data science, bridging theory and practice to enhance problem-solving capabilities and improve data-driven decision-making.
Accessible Format
Written in a clear and accessible style, making complex statistical concepts understandable for both novice and intermediate data scientists, fostering better learning and retention.
Product Details
| Publisher | O'Reilly Media |
| Publication date | June 27, 2017 |
| Edition | 1st |
| Language | English |
| Print length | 315 pages |
| ISBN-10 | 1491952962 |
| ISBN-13 | 978-1491952962 |
| Item Weight | 1.12 pounds (510 grams) |
| Dimensions | 6.75 x 0.5 x 9 inches (17.1 x 1.3 x 22.9 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners seeking foundational statistical concepts necessary for data analysis and interpretation in data science.
-
Statistical Practitioners
Useful for practitioners looking to brush up on vital statistical principles and enhance their analytical skills effectively.
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Students in Analytics
Perfect for students in analytics or data science courses needing a practical guide to statistics relevant to their studies.
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Advanced Statisticians
May not suit advanced statisticians who require in-depth theoretical insights beyond foundational and practical statistical concepts.
Product Description
Practical Statistics for Data Scientists: 50 Essential Concepts
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Data Processing Editorial Review
"Practical Statistics for Data Scientists: 50 Essential Concepts" is a book that has received mixed reviews from customers. Some readers find it lacking in depth as it only offers a brief introduction to various topics. However, others have found it to be a great read packed with useful statistics and programming knowledge. The book includes helpful R and Python programs and notebooks that can be easily accessed on Github. The concise nature of the book makes it an excellent resource for those who need a quick stats refresher.
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Pros
- Includes great R and Python programs and notebooks that are easy to understand
- Provides a quick refresher of stats knowledge
- Relevant for those working in the data/business analyst world
Cons
- Some feel the book only scratches the surface of each concept
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