course.dataScience
latest
  • Introduction
  • Evaluation
  • Feature reduction
  • Visualization and Exploratory
  • Unsupervised learning
  • Supervised learning
  • References and supplementaries
    • Reference Books
    • Additional Material
    • Other References
course.dataScience
  • Introduction
  • Additional Material
  • Edit on GitHub

Additional Material

  • Cheat Sheet

    • Basic R

    • RStudio

    • Git

    • advanceR

    • ggplot2

    • Shiny

    • RMarkdown

    • machine learning

  • Data Mining with R: Learning with Case Studies, by Torgo

  • An Introduction to Data Science, Version 3 , by Stanton

  • Machine Learning with R by Lantz

  • A Simple Introduction to Data Science , by Burlingame and Nielsen

  • Ethics of Big Data , by Davis

  • Privacy and Big Data , by Craig and Ludloff

  • Doing Data Science: Straight Talk from the Frontline , by O’Neil and Schutt

  • Springer Textbooks Use R! Series

  • Online search tool Rseek

  • The Odum Institute’s online course

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