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Book synopsis

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.

Book details

Book category Books in English Computing & information technology Computer science Mathematical theory of computation

• Full title: Statistics for Data Scientists
• Subtitle: An introduction to probability, statistics, and data analysis
• Author: Maurits Kaptein, Edwin van den Heuvel
• Language: English
• Binding: Paperback
• Number of pages: 321
• EAN: 9783030105303
• ID: 20755332
• Publisher: Springer Nature Switzerland AG
• Weight: 538 g
• Dimensions: 155 × 234 × 23 mm
• Date of publishing: 03. February 2022

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