Computational and Inferential Thinking: The Foundations of Data Science
by Ani Adhikari, John DeNero
Publisher: GitBook 2017
Number of pages: 646
Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning and optimization, and for inference are statistical tests and models.
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by Max Hailperin, Barbara Kaiser, Karl Knight - Course Technology
The book Concrete Abstractions covers the programming and data structures basics. It will give first-time computer science students the opportunity to not only write programs, but to prove theorems and analyze algorithms as well.
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