• The course mostly follows the lecture notes -- as laid out in the syllabus
• The syllabus contains pointers to up to date material
  
  

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  useful supplements
  
• Online Data8 : Ani Adhikari, John DeNero, David Wagner
  Computational and Inferential Thinking: The Foundations of Data Science
• Online FDS : Avrim Blum, John Hopcroft, and Ravindran Kannan
  Foundations of Data Science
• Online APM : Max Kuhn, Kjell Johnson   (verbose)
  Applied Predictive Modeling
• Data Design Manual, Skiena
• Online DSML : D.P. Kroese, Z.I. Botev, T. Taimre, R. Vaisman.
  Data Science and Machine Learning: Mathematical and Statistical Methods, Chapman and Hall/CRC, Boca Raton, 2019.
• Python reference (one of many)
• Python for Data Analysis