Data analysis : a gentle introduction for future data scientists /
"This book introduces the central concepts of modern data science, beginning with an introduction to simple statistical concepts such as mean and variance together with related methods for presenting and summarising data. The next chapters present the laws of probability, the probability distri...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Oxford :
Oxford University Press,
2023.
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| Edition: | First edition. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "This book introduces the central concepts of modern data science, beginning with an introduction to simple statistical concepts such as mean and variance together with related methods for presenting and summarising data. The next chapters present the laws of probability, the probability distributions most commonly used to summarise data, the methods for estimating the parameters of these distributions, and the extent to which we can be confident concerning those estimated values. The next chapters are concerned with the relationships between two variables and the selection of models that involve several variables. The final chapter investigates the various methods that are used in dividing a population into distinct classes. The many worked examples include a study of the fate of those on the Titanic, and the factors affecting babies being born underweight. The book demands no particular software familiarity, since the methods presented can be implemented in Python, R (used by the authors), or any other statistical software"--Publisher's description. |
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| Physical Description: | 1 online resource (viii, 141 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780192885791 0192885790 9780191980855 0191980854 |