Data Analysis for Social Science is popular PDF and ePub book, written by Elena Llaudet in 2022-11-29, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Data Analysis for Social Science can be Read Online from any device for your convenience.
Data Analysis for Social Science Book PDF Summary
"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--
Detail Book of Data Analysis for Social Science PDF
- Author : Elena Llaudet
- Release : 29 November 2022
- Publisher : Princeton University Press
- ISBN : 9780691199436
- Genre : Computers
- Total Page : 256 pages
- Language : English
- PDF File Size : 19,8 Mb
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