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Practical Statistics for Data Scientists: 50 Essential Concepts
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3526794
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Practical Statistics for Data Scientists: 50 Essential Concepts 1st Edition provides essential statistical methods for data science
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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
- Practical guide explaining the application of statistical methods to data science
- Emphasis on exploratory data analysis and random sampling to reduce bias
- Covers principles of experimental design, regression, key classification techniques, and statistical machine learning methods
- Accessible resource for data scientists familiar with R programming language and some statistics exposure
- Highlights key statistical concepts relevant to data science and their importance
- Aims to bridge the gap between statistics and data science in an easily referenced format
| 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
About This Item
Introducing the must-have resource for every data scientist: Practical Statistics for Data Scientists: 50 Essential Concepts, 1st Edition. This comprehensive guide is designed to equip both aspiring and experienced data scientists with the statistical knowledge and skills they need to excel in their field. Written by renowned experts in the field, this book covers 50 essential statistical concepts that are directly applicable to the work of data scientists. From probability and sampling to hypothesis testing and regression analysis, each concept is explained in a clear and concise manner, making it easy for readers to grasp and apply to real-world scenarios. Whether you're just starting out in the field or looking to brush up on your statistical skills, this book is an invaluable resource.
It provides practical examples, case studies, and exercises that allow you to practice and reinforce your understanding of each concept. You'll also find helpful tips and tricks, as well as pitfalls to avoid, ensuring that you can confidently apply statistical techniques to your data analysis projects. Practical Statistics for Data Scientists is not just a book, it's a complete learning package. With online resources, including tutorials, training materials, and additional case studies, you'll have everything you need to deepen your understanding of statistics and enhance your data science skills. Whether you're a data scientist, a student studying data science, or a professional looking to expand your skillset, Practical Statistics for Data Scientists is the ultimate guide to mastering statistics in the context of data science.
Don't miss out on this essential resource – order your copy today and take your data science expertise to the next level.
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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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Features & Benefits
- Explains how to apply various statistical methods to data science
- Advice on what's important and what's not
- Quick reference book, accessible and readable
- Methods for exploratory data analysis
- Teaches the principles of experimental design
- Covers regression for estimating outcomes and detecting anomalies
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