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- Title: Doing Data Science in R: An Introduction for Social Scientists
- Author(s) Mark Andrews
- Publisher: SAGE Publications Ltd; 1st edition (June 15, 2021); eBook (Creative Commons Licensed)
- License(s): CC BY-NC-ND 3.0 US
- Hardcover/Paperback: 640 pages
- eBook: PDF Files
- Language: English
- ISBN-10/ASIN: 1526486776
- ISBN-13: 978-1526486776
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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.
About the Authors- Mark Andrews (PhD) is Senior Lecturer in the Department of Psychology in Nottingham Trent University.
- Data Science
- The R Programming Language
- Data Analysis and Data Mining, Big Data
- Statistics, Mathematical Statistics, and SAS Programming
- Doing Data Science in R: An Introduction for Social Scientists (Mark Andrews)
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