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Statistics and Analytics for the Social and Computing Sciences

This is a working collection of statistics notes that I am compiling.

Topics that I would like to eventually cover with this set of notes include:

  • Data Wrangling / Data Munging (Data structures and type; How to shape data)
  • Descriptive Statistics (Means, Standard Deviations, etc...)
  • Data Visualization
  • Regression Analysis / Linear modelling, including generalized linear models, multiple regression, and interactions
  • Linear mixed-effects modelling
  • Probability
  • Monte Carlo Simulations (including using simulations to do non-parametric statistics like the bootstrap)
  • Power analyses
  • Introduction to Data Mining techniques
  • Good (R & R Markdown; analysis) Practices

The link to this book is here. More information can be found in the preface of the book.

This work is shared under a Creative Commons Attribution Share Alike 4.0 International (CC-BY-SA-4.0) License.

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