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.| ISBN: | 9783030105303 |
| Publication date: | 3rd February 2022 |
| Author: | Maurits Kaptein, Edwin van den Heuvel |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 321 pages |
| Series: | Undergraduate Topics in Computer Science |
| Genres: |
Maths for computer scientists Stochastics Probability and statistics |
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.
Statistics for Data Scientists features in the following genres: Maths for computer scientists, Stochastics, Probability and statistics
Paperback. £40.49, down from the £44.99 cover price. Not Available.
Statistics for Data Scientists was written by Maurits Kaptein, Edwin van den Heuvel and published by Springer an imprint of Springer International Publishing
Statistics for Data Scientists has 321 pages
Yes it is part of Undergraduate Topics in Computer Science series
£40.49, reduced from £44.99. Not Available.