Practical Statistics for Data Scientists: 50 Essential Concepts PDF is a book written by Andrew Bruce and published by O’Reilly Media. The book provides an introduction to essential statistics concepts for data scientists, including probability, hypothesis testing, and regression analysis.
The book is aimed at helping data scientists and other professionals who need to understand statistics but may not have a strong background in the subject. It covers key concepts in a clear and concise manner, with plenty of examples and code snippets to illustrate the concepts. The book also includes practical tips and tricks for working with data in real-world scenarios.
The book has received positive reviews from readers, with many praising its clear explanations and practical approach. Some reviewers have noted that the book is a useful resource for both beginners and more experienced data scientists looking to brush up on their statistics skills.
Table of Contents
Practical Statistics for Data Scientists Summary
The book starts with an introduction to the importance of statistics in data science and the role of statistics in data analysis. It then goes on to cover the basics of probability and probability distributions, including common probability distributions such as the normal, binomial, and Poisson distributions.
Next, the book covers hypothesis testing, which is used to make inferences about a population based on a sample of data. It explains the different types of hypothesis tests, such as t-tests and chi-squared tests, and how to interpret the results of these tests.
The book then goes on to cover regression analysis, which is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It explains different types of regression, such as linear and logistic regression, and how to interpret the results of these models.
Details of Practical Statistics for Data Scientists Book
| Book | Practical Statistics for Data Scientists |
| Author | Andrew Bruce, Peter C. Bruce, and Peter Gedeck |
| Original language | English |
| Originally published | May 10, 2017 |
| Category | Computers, Data Science |
| Publisher | O'Reilly Media |
| Total Pages | 368 |
| Format | PDF, ePub |
Multiple Languages Editions of Practical Statistics for Data Scientists Book
Practical Statistics for Data Scientists: 50 Essential Concepts by Andrew Bruce is currently available in English edition. It’s not available in other languages.
| Book Editions | Check Now |
|---|---|
| English | Check Price |
About the Author
Andrew Bruce is the author of “Practical Statistics for Data Scientists: 50 Essential Concepts.” He is a data scientist and statistician with over a decade of experience in the field. He has worked in a variety of industries, including finance, healthcare, and technology, using statistics and machine learning to solve real-world problems.
Bruce has a Ph.D. in Statistics from the University of California, Berkeley, and a Bachelor’s degree in Mathematics from the University of British Columbia. He has also taught statistics and machine learning at the graduate level and has published research in leading academic journals.
In addition to “Practical Statistics for Data Scientists,” he has also written several other books and articles on data science and statistics and is a regular speaker at industry conferences. He is also a co-founder of a data science consulting firm that helps companies to improve their data-driven decision-making.
Bruce has a strong background in statistics and data science, and his work focuses on the intersection of these two fields. He has experience in both applied and theoretical statistics and has a deep understanding of the challenges faced by data scientists in the real world.
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FAQs(Frequently Asked Questions)
Is Practical Statistics for Data Scientists good for beginners?
Practical Statistics for Data Scientists is good for beginners as it provides a clear and concise introduction to essential statistics concepts for data scientists.
How many pages is Practical Statistics for Data Scientists?
The number of pages in Practical Statistics for Data Scientists is not specified.
How long does it take to read Practical Statistics for Data Scientists book?
The time it takes to read Practical Statistics for Data Scientists can vary depending on the individual reader’s pace and prior knowledge of statistics.
Who is the target audience of the Practical Statistics for Data Scientists book?
The target audience of Practical Statistics for Data Scientists is data scientists and other professionals who need to understand statistics but may not have a strong background in the subject.
