Doing Data Science in R: An Introduction for Social Scientists - Couverture souple

Andrews, Mark

Couverture souple

ISBN 10 : 1526486776 ISBN 13 : 9781526486776

Editeur : SAGE Publications Ltd, 2021

Synopsis

This approachable introduction to doing data science in R provides step-by-step advice on using data science tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.

A propos du livre

À propos de l?auteur

Mark Andrews (PhD) is Senior Lecturer in the Department of Psychology in Nottingham Trent University. There, he specializes in teaching statistics and data science at all levels from undergraduate to PhD level. Currently, he is the Chair of the British Psychological Society's Mathematics, Statistics, and Computing section. Between 2015 and 2018, Dr Andrews was funded by the UK's Economic and Social Research Council (ESRC) to provide advanced training workshop on Bayesian data analysis to UK based researchers at PhD level and beyond in the social sciences. Dr Andrews's background is in computational cognitive science, particularly focused Bayesian models of human cognition. He has a PhD in Cognitive Science from Cornell University, and was a postdoctoral researcher in the Gatsby Computational Neuroscience Unit in UCL and also in the Department of Psychology in UCL.

Détails de l'édition

• Éditeur: SAGE Publications Ltd
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 1526486776
• ISBN 13: 9781526486776
• Reliure: Broché
• Nombre de pages: 640
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne