From Social Science to Data Science

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

Excellent. The students will love I think. It reminds me a bit of a Andy Field's SPSS/R books, which the students have also loved in the past too. This one has that flavour but also pushes the analytics into the contemporary era with Python. I expect it will be a real success. -- Emma Uprichard