Introduction to Quantitative Social Science with Python by Weiqi Zhang Paperback

Description: Introduction to Quantitative Social Science with Python by Weiqi Zhang, Dmitry Zinoviev Through integrated content, readers can explore fundamental concepts in data analysis while gaining hands-on experience with Python programming, ensuring a holistic understanding of theory and practical application in Python. FORMAT Paperback CONDITION Brand New Publisher Description Departing from traditional methodologies of teaching data analysis, this book presents a dual-track learning experience, with both Executive and Technical Tracks, designed to accommodate readers with various learning goals or skill levels. Through integrated content, readers can explore fundamental concepts in data analysis while gaining hands-on experience with Python programming, ensuring a holistic understanding of theory and practical application in Python.Emphasizing the practical relevance of data analysis in todays world, the book equips readers with essential skills for success in the field. By advocating for the use of Python, an open-source and versatile programming language, we break down financial barriers and empower a diverse range of learners to access the tools they need to excel.Whether youre a novice seeking to grasp the foundational concepts of data analysis or a seasoned professional looking to enhance your programming skills, this book offers a comprehensive and accessible guide to mastering the art and science of data analysis in social science research.Key Features:Dual-track learning: Offers both Executive and Technical Tracks, catering to readers with varying levels of conceptual and technical proficiency in data analysis.Includes comprehensive quantitative methodologies for quantitative social science studies.Seamless integration: Interconnects key concepts between tracks, ensuring a smooth transition from theory to practical implementation for a comprehensive learning experience.Emphasis on Python: Focuses on Python programming language, leveraging its accessibility, versatility, and extensive online support to equip readers with valuable data analysis skills applicable across diverse domains. Author Biography Weiqi Zhang is an Associate Professor at Suffolk University. He teaches courses on political science and data analytics, and he is passionate about bridging social sciences and data science.Dmitry Zinoviev is a Professor of Computer Science at Suffolk University. His academic interests include computer modeling and simulation, complex networks, and the integration of computational methods into traditionally non-quantitative fields such as the humanities and social sciences. Table of Contents Part 1: "Executive Track" 1. Introduction to Data Analysis in Social Science 2. Data Collection and Cleaning 3. Descriptive and Exploratory Analysis 4. Causality and Hypothesis Testing 5. Linear Regression Analysis 6. Classification 7. Complex Network Analysis 8. Text As Data Part 2: "Technical Track" 9. Python Programming Fundamentals 10. Data Collection and Cleaning 11. Condition Checking and Descriptive and Exploratory Analysis 12. Loops and Hypothesis Testing 13. User-Defined Functions and Regression Analysis 14. Generators and Classification 15. More Generators and Network Analysis 16. Sets. Text as Data Conclusion A. Solutions to Select Exercises Bibliography Details ISBN1032356596 Author Dmitry Zinoviev Publisher Taylor & Francis Ltd Year 2024 ISBN-10 1032356596 ISBN-13 9781032356594 Format Paperback Imprint Chapman & Hall/CRC Country of Publication United Kingdom Alternative 9781032354606 Illustrations 39 Tables, black and white; 65 Line drawings, black and white; 1 Halftones, black and white; 66 Illustrations, black and white Audience Professional & Vocational Series Chapman & Hall/CRC The Python Series Publication Date 2024-11-01 UK Release Date 2024-11-01 Pages 332 DEWEY 300.72 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:161562342;

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