Nouveauté
| Titre : | Statistics with R for Data Analysis |
| Auteurs : | Nady Mohsen, Auteur |
| Type de document : | texte imprimé |
| Editeur : | Arcler Press, 2025 |
| ISBN/ISSN/EAN : | 978-1-77956-353-8 |
| Format : | 492 p. / ill. / 24 cm |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 004 (informatique en général) |
| Catégories : | |
| Mots-clés: | Statistics ; R Programming ; Data Analysis ; Probability ; Hypothesis Testing ; Regression ; Data Visualization ; Statistical Computing ; Data Science |
| Résumé : | Statistics with R for Data Analysis is a practical guide that introduces statistical concepts using the R programming language for data exploration and modeling. The book focuses on helping readers understand both theoretical statistics and their real-world implementation through R-based computational tools. It covers fundamental topics such as descriptive statistics, probability distributions, hypothesis testing, regression analysis, and data visualization. The text emphasizes hands-on learning by providing practical examples, datasets, and coding exercises that demonstrate how to perform statistical analysis, interpret results, and make data-driven decisions. It is especially useful for students, data analysts, and researchers who want to apply statistical methods in scientific research, business analytics, and data science projects. |
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