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Doing Data Science in R : An Introduction for Social Scientists
Doing Data Science in R : An Introduction for Social Scientists
Doing Data Science in R : An Introduction for Social Scientists
Doing Data Science in R : An Introduction for Social Scientists

Doing Data Science in R : An Introduction for Social Scientists

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Doing Data Science in RAn Introduction for Social Scientists\nAuthor(s): Mark Andrews\nFormat: Paperback\nPublisher: SAGE Publications Ltd, United Kingdom\nImprint: SAGE Publications Ltd\nISBN-13: 9781526486776, 978-1526486776\nSynopsis\nThis 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.\n This book:\n\nFocuses 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\nExplores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills\nIntroduces R at th.

Doing Data Science in R : An Introduction for Social Scientists

Doing Data Science in RAn Introduction for Social Scientists\nAuthor(s): Mark Andrews\nFormat: Paperback\nPublisher: SAGE Publications Ltd, United Kingdom\nImprint: SAGE Publications Ltd\nISBN-13: 9781526486776, 978-1526486776\nSynopsis\nThis 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.\n This book:\n\nFocuses 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\nExplores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills\nIntroduces R at th.

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