Doing Data Science in R: An Introduction for Social Scientists

By: Mark Andrews

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Synopsis: This approachable introduction to doing data science in R provides step-by-step advice on using the 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. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires Explores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills Introduces R at the outset and includes extensive worked examples and R code every step of the way, ensuring students see the value of R and its connection to methods while providing hands-on practice in the software Provides examples and datasets from different disciplines and locations demonstrate the widespread relevance, possible applications, and impact of data science across the social sciences.

Book Quality:: Publisher Quality
Book Size:: 640 Pages
ISBN-13:: 9781529752694
Related ISBNs:: 9781526486769, 9781529752700, 9781526486776, 9781529752717
Publisher:: SAGE Publications
Date of Addition:: 09/03/24
Copyrighted By:: Mark Andrews
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Psychology, Social Studies, Mathematics and Statistics, Sociology
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.