Data Science for the Social Sciences
Introduction and Advanced Models with R
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This textbook offers a step-by-step introduction to the fundamentals of data analysis. It begins with descriptive analyses, moves on to linear regression, and then covers more advanced and sophisticated statistical models. Using the freely available statistical software R, the analyses are implemented in a clear and practical manner to make the theoretical concepts more tangible. In addition, the author introduces Quarto Markdown a tool that significantly simplifies the technical aspects of writing seminar papers, bachelor s and master s theses. Exercises at the end of each chapter encourage r...
This textbook offers a step-by-step introduction to the fundamentals of data analysis. It begins with descriptive analyses, moves on to linear regression, and then covers more advanced and sophisticated statistical models. Using the freely available statistical software R, the analyses are implemented in a clear and practical manner to make the theoretical concepts more tangible. In addition, the author introduces Quarto Markdown a tool that significantly simplifies the technical aspects of writing seminar papers, bachelor s and master s theses. Exercises at the end of each chapter encourage readers to apply the material covered and dig deeper on their own. The book is primarily intended for students in the social sciences.
The English translation of this book, originally in German, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.
The English translation of this book, originally in German, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.
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