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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 ---------------