未来のデータサイエンティストのためのやさしいデータ分析入門 Data Analysis : A Gentle Introduction for Future Data Scientists

Upton, Graham/ Brawn, Dan

Oxford University Press（2023/08発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 160 p.
• 言語 ENG
• 商品コード 9780192885784
• DDC分類 519.5

Full Description

Data analysis has been a hot topic for a number of years, and many future data scientists have backgrounds that are relatively light in mathematics. This slim volume provides a very approachable guide to the techniques of the subject, designed with such people in mind. Formulae are kept to a minimum, but the book's scope is broad, introducing the basic ideas of probability and statistics and more advanced techniques such as generalised linear models, classification using logistic regression, and support-vector machines.

An essential feature of the book is that it does not tie to any particular software. The methods introduced in this book could also be implemented using any other statistical software and applying any major statistical package. Academically, the book amounts to a first course, practical for those at the undergraduate level, either as part of a mathematics/statistics degree or as a data-oriented option for a non-mathematics degree.

The book appeals to would-be data scientists who may be formula shy. However, it could also be a relevant purchase for statisticians and mathematicians, for whom data science is a new departure, overall appealing to any computer-literate reader with data to analyse.

Contents

1: First steps
2: Summarising data
3: Probablity
4: Probability distributions
5: Estimation and confidence
6: Models, p-values, and hypotheses
7: Comparing proportions
8: Relations between two continous variable
9: Several explanatory variables
10: Classification
11: Last Words