Statistics’s MA capstone¶

  • Lectures
    • Day 1: Text Mining (Getting data)
    • Day 2: Text Mining (Functions)
    • Day 3: Text Mining (NLP)
    • Day 5: Graphics (ggplot2)
    • Day 6: Twitter slides
    • Day 7: Network Analysis
    • Day 8: Poster Prep
  • Bootcamps
    • Standard track bootcamp
    • Advanced track bootcamp
  • Appendices
    • Software installation
    • Using the bash shell
    • Introduction to Git
    • Collaborative workflow with Git
    • Introduction to Python
    • File Transfer
    • Command Line Utilities
    • File System Layout
    • Shell Customization
    • Array reduction operations

Capstone

Spring 2016

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