
Foundations of Data Science with Python
Description
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This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics. However, it is also intended to be accessible to practicing engineers and scientists who need to gain foundational knowledge of data science.
Key Features:
Applies a modern, computational approach to working with data
Uses real data sets to conduct statistical tests that address a diverse set of contemporary issues
Teaches the fundamentals of some of the most important tools in the Python data-science stack
Provides a basic, but rigorous, introduction to Probability and its application to Statistics
Offers an accompanying website that provides a unique set of online, interactive tools to help the reader learn the material
Reviews / Votes
"Foundations of Data Science with Python, by John M. Shea, provides a comprehensive and modern introduction of data science. The book illustrates different aspects of working with data computationally using the programming language Pyhon. It incoporates many trendy and practical real data examples, such as COVID-19 datasets, in its discussion, while at the same time retaining mathematical rigor by covering topics on probability and random variables, among others. Overall, the book is beautifully written and offers sufficient coding support for Python beginners to follow along. It is a valuable addition to the shelf for anyone who wishes to gain basic knowledge of data science. In addition, it is an excellent choice as a textbook for a first course in data science." - Qing Wang, The American StatisticianMore details
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File format: ePUB
Copy protection: Adobe-DRM (Digital Rights Management)
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