The Crystal Ball Instruction Manual - version 1.1 Volume One: Introduction to Data Science
dc.contributor.author | Davies, Stephen | |
dc.date.accessioned | 2025-07-01T08:27:08Z | |
dc.date.available | 2025-07-01T08:27:08Z | |
dc.date.issued | 2020 | |
dc.description | 313 p. | |
dc.description.abstract | 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. | |
dc.identifier.isbn | 9781715320041 | |
dc.identifier.uri | https://oerrepository.ntt.edu.vn/handle/298300331/780 | |
dc.language.iso | en | |
dc.publisher | University of Mary Washington | |
dc.subject | Data Science | |
dc.subject | Jupyter | |
dc.subject | Python | |
dc.title | The Crystal Ball Instruction Manual - version 1.1 Volume One: Introduction to Data Science | |
dc.type | Book | |
dcterms.license | Creative Commons Attribution-ShareAlike 4.0 International |
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