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.
General
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