The Crystal Ball Instruction Manual - version 1.1 Volume One: Introduction to Data Science
Copyright Year:
Contributor: Davies
Publisher: University of Mary Washington
License: CC BY-SA
A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.
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