layout | title | permalink |
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page |
Syllabus |
/syllabus/ |
A tentative syllabus, subject to change, is below.
Date | Time | Keywords | Slides/Exercises |
---|---|---|---|
Aug 7 | 9-12 | Introduction to SDS | Introduction to SDS (keynote) |
Aug 7 | 13-15 | Introduction to Python | An introduction to Python (notebook) |
Aug 8 | 9-12 | Data Visualization | Modern Python Plotting (notebook) |
Aug 8 | 13-15 | Data Manipulation (I) | Data structuring (notebook) |
Aug 9 | 9-12 | Data Manipulation (II) | (lecture exercise) |
Aug 9 | 13-15 | Exercises + Brainstorming | Ex 1: gender divide (solution) |
Aug 10 | 9-12 | Generating New Data | Lecture + exercises (notebook) |
Aug 10 | 13-15 | Exercises + Brainstorming | |
Aug 11 | 9-12 | Reproducible Research | Reproducible research (notebook) |
Aug 11 | 10-12 | Interactive Visualizations | Interactive plotting (notebook) |
Aug 11 | 13-15 | Big Data in Social Science | Big data (ppt) |
Aug 14 | 9-12 | Causation & Prediction | Causation & Prediction (notebook) |
Aug 14 | 13-15 | Exercise + Brainstorming | Ex 3: causal and supervised (solution) |
Aug 15 | 9-12 | Text as Data | Slides + Exercises (Notebook here) |
Aug 15 | 13-15 | Exercise + Brainstorming | |
Aug 16 | 9-12 | Classification (of Text) and Feature Engineering | Slides and Exercises (Notebook + Solutions, right click here) |
Aug 17 | 9-12 | Privacy | Slides (powerpoint) |
Aug 18 | 9-12 | Wrap Up | |
--------------- End of course --------------- |