Titre : |
An introduction to data science |
Type de document : |
texte imprimé |
Auteurs : |
Jeffrey S. Saltz ; Jeffrey M. Stanton , |
Editeur : |
Thousand Oaks, CA ; Londres : SAGE Publications |
Année de publication : |
2018 |
Importance : |
XII-275 p. |
Présentation : |
fig., tabl. |
Format : |
25 cm |
ISBN/ISSN/EAN : |
978-1-5063-7753-7 |
Note générale : |
Index |
Langues : |
Anglais (eng) |
Descripteurs : |
Analyse des données , Logiciel statistique R , Statistique mathématique
|
Index. décimale : |
239 Fouille de données - Data mining |
Résumé : |
This book is a gentle introduction for advanced undergraduate, certificate, and graduate students coming from a wide range of backgrounds into the world of data science. After introducing the basic concepts of data science, it builds on these foundations to explain data science techniques using the R programming language and RStudio® from the ground up. Short chapters allow instructors to group concepts together for a semester course and provide students with manageable amounts of information for each concept. By taking students systematically through the R programming environment, the book takes the fear out of data science and familiarizes students with the environment so they can be successful when performing advanced functions. It covers statistics from a conceptual standpoint, focusing on how to use and interpret statistics, rather than the math behind the statistics. This text then demonstrates how to use data effectively and efficiently to construct models, predict outcomes, visualize data, and make decisions. [D'après le résumé éditeur] |
En ligne : |
https://uk.sagepub.com/en-gb/eur/an-introduction-to-data-science/book256486#cont [...] |
Permalink : |
https://genes.bibli.fr/index.php?lvl=notice_display&id=131539 |
An introduction to data science [texte imprimé] / Jeffrey S. Saltz ; Jeffrey M. Stanton , . - Thousand Oaks, CA ; Londres : SAGE Publications, 2018 . - XII-275 p. : fig., tabl. ; 25 cm. ISBN : 978-1-5063-7753-7 Index Langues : Anglais ( eng)
Descripteurs : |
Analyse des données , Logiciel statistique R , Statistique mathématique
|
Index. décimale : |
239 Fouille de données - Data mining |
Résumé : |
This book is a gentle introduction for advanced undergraduate, certificate, and graduate students coming from a wide range of backgrounds into the world of data science. After introducing the basic concepts of data science, it builds on these foundations to explain data science techniques using the R programming language and RStudio® from the ground up. Short chapters allow instructors to group concepts together for a semester course and provide students with manageable amounts of information for each concept. By taking students systematically through the R programming environment, the book takes the fear out of data science and familiarizes students with the environment so they can be successful when performing advanced functions. It covers statistics from a conceptual standpoint, focusing on how to use and interpret statistics, rather than the math behind the statistics. This text then demonstrates how to use data effectively and efficiently to construct models, predict outcomes, visualize data, and make decisions. [D'après le résumé éditeur] |
En ligne : |
https://uk.sagepub.com/en-gb/eur/an-introduction-to-data-science/book256486#cont [...] |
Permalink : |
https://genes.bibli.fr/index.php?lvl=notice_display&id=131539 |
| |