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Sage Publications

Doing Data Science in R: An Introduction for Social Scientists

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Book Details

  • Author: Mark Andrews

  • Brand: Sage Publications

  • Edition: 1

  • Binding: Paperback

  • ISBN: 9781526486776

  • Pages: 640

  • Release Date: 24-03-2021

  • Languages: English

About The Book

"Doing Data Science in R: An Introduction" by Mark Andrews offers a comprehensive yet approachable guide to using R for data science, specifically tailored for social science applications. Aimed at beginners, this book introduces you to the key tools and statistical methods required to carry out data analysis, while gradually building knowledge to more advanced topics like Multilevel Models and Probabilistic Modeling with Stan.

What makes this book truly valuable is its practical, hands-on approach. Readers are guided step-by-step through the data analysis process, with clear examples and R code provided every step of the way. This makes the book ideal for students and professionals looking to understand the principles behind data science and its applications in social science research.

Key features of the book include:

  • Comprehensive Introduction to Data Science and R – Start with the fundamentals and progress to advanced techniques like Multilevel Models and Probabilistic Modelling with Stan.

  • Practical Guidance and Worked Examples – The book offers extensive examples and R code that help you apply your learning in real-world situations.

  • Social Science Focus – Explore datasets and examples from various disciplines, demonstrating the widespread relevance of data science across the social sciences.

  • Hands-On Practice – Every chapter builds on the last, ensuring that readers get ample practice in using R and its statistical methods.

  • Clear and Structured Approach – Step-by-step guidance to help you grasp complex topics while ensuring practical understanding and hands-on application.

Whether you are a beginner in data science or someone looking to enhance your R skills, this book provides the knowledge and tools necessary to carry out high-quality data analysis in the social sciences.
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