This book introduces social science researchers, students, and educators to the fundamental concepts and tools of data science. It addresses the misconception that data science is reserved for computer scientists, demonstrating its wide applicability in fields like economics, political science, and anthropology. The book aims to spark interest in data analytics by providing insights and examples that show how data science can enhance social science research and decision-making, encouraging readers to explore these methodologies and apply them to better understand complex social phenomena.

Dieses Buch führt Forscher, Studenten und Lehrkräfte der Sozialwissenschaften in die grundlegenden Konzepte und Werkzeuge der Datenwissenschaft ein. Es räumt mit dem Missverständnis auf, dass Datenwissenschaft Informatikern vorbehalten ist, und zeigt ihre breite Anwendbarkeit in Bereichen wie Wirtschaft, Politikwissenschaft und Anthropologie. Das Buch zielt darauf ab, das Interesse an der Datenanalyse zu wecken, indem es Einblicke und Beispiele liefert, die zeigen, wie die Datenwissenschaft die sozialwissenschaftliche Forschung und Entscheidungsfindung verbessern kann, und die Leser...

Ce livre présente aux chercheurs en sciences sociales, aux étudiants et aux éducateurs les concepts et les outils fondamentaux de la science des données. Il s'attaque à l'idée fausse selon laquelle la science des données est réservée aux informaticiens, en démontrant sa large applicabilité dans des domaines tels que l'économie, les sciences politiques et l'anthropologie. Le livre vise à susciter l'intérêt pour l'analyse des données en fournissant des idées et des exemples qui montrent comment la science des données peut améliorer la recherche et la prise de décision en...

The goal of this book is not to teach econometrics from scratch, as I assume the reader already has foundational knowledge in the field. Instead, it aims to provide a clear, step-by-step guide to implementing major statistical analyses commonly used in time series analysis. Many students, even after completing advanced coursework in econometrics and statistics, struggle with the practical application of these essential tests. Traditional econometrics materials are often filled with complex mathematical jargon and offer limited guidance on applying these tests using EViews software.

This text is designed for undergraduate and graduate students pursuing degrees in economics, data science, finance, or related fields. The chapters are structured to provide both theoretical foundations and practical, hands-on experience using popular programming tools like R. Real-world economic datasets are used throughout to illustrate how data science techniques can inform better decision-making across diverse sectors, including finance, healthcare, and public policy.

This book on international trade serves as an introductory guide for beginners, offering a comprehensive overview of key concepts and theories in the field. It explores the fundamental principles that govern trade between nations, including comparative advantage, trade policies, tariffs, and the impact of globalization on economic development. Designed to provide a clear understanding of the economic dynamics and frameworks shaping international trade, the book simplifies complex ideas, making them accessible to readers new to the subject while fostering a deeper appreciation for global...