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From Social Science to Data Science
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From Social Science to Data Science
Key Data Collection and Analysis Skills in Python

  • Bernie Hogan - University of Oxford, Oxford Internet Institute, UK
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488 pages | SAGE Publications Ltd
From Social Science to Data Science is a fundamental guide to scaling up and advancing your programming skills in Python. From beginning to end, this book will enable you to understand merging, accessing, cleaning and interpreting data whilst gaining a deeper understanding into computational techniques and seeing the bigger picture. 

With key features such as tables, figures, step-by-step instruction and explanations giving a wider context, Hogan presents a clear and concise analysis on key data collection and skills in Python. 
 
Part I: Thinking Pragmatically
 
Chapter 1. Introduction
 
Chapter 2. The Series
 
Chapter 3. The DataFrame
 
Part II: Accessing and Converting Data
 
Chapter 4. File Types
 
Chapter 5. Merging and Grouping Data
 
Chapter 6. Accessing the Web
 
Chapter 7. Accessing APIs
 
Part III. Interpreting Data: Expectations versus Observations
 
Chapter 8. Research Questions
 
Chapter 9. Visualising Expectations
 
Part IV: Social Data Science in Practice: Four Approaches
 
Chapter 10. Cleaning Data
 
Chapter 11. Introducing Natural Language Processing
 
Chapter 12. Introducing Time Series Data
 
Chapter 13. Introducing Network Analysis
 
Chapter 14. Introducing Geographic Information Systems
 
Chapter 15. Conclusion
 
About the Author

Bernie Hogan

Bernie Hogan (he/him) is a Senior Research Fellow at the Oxford Internet Institute and the current Directorof the University of Oxford’s MSc program in Social Data Science. Bernie’s work specialises in how toleverage computational tools for creative, challenging, and engaging methodologies to address social scienceresearch questions about identity, sexuality, and community. His favourite work in this area focuses on thecapture and analysis of personal social networks, using both pen-and-paper tools and the recent free opensourceapplication Network Canvas (https://www.networkcanvas.com). He also has a keen interest in howlanguage is used to... More About Author