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The course mostly follows the lecture notes -- as laid out in the syllabus
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The syllabus contains pointers to up to date material
useful supplements
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Online Data8 :
Ani Adhikari, John DeNero, David Wagner
Computational and Inferential Thinking: The Foundations of Data Science
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Online FDS :
Avrim Blum, John Hopcroft, and Ravindran Kannan
Foundations of Data Science
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Online APM :
Max Kuhn, Kjell Johnson (verbose)
Applied Predictive Modeling
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Data Design Manual, Skiena
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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.
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Python
reference (one of many)
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Python for Data Analysis