dc.contributor.author | Davies, Stephen | |
dc.date.accessioned | 2022-09-29T11:20:23Z | |
dc.date.available | 2022-09-29T11:20:23Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://oer.just.edu.jo/xmlui/handle/123456789/343 | |
dc.description | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Mary Washington | en_US |
dc.relation.ispartofseries | ISBN 13;9781715320041 | |
dc.rights | Attribution-ShareAlike 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | * |
dc.subject | Data Science | en_US |
dc.title | The Crystal Ball Instruction Manual - version 1.1 Volume One: Introduction to Data Science | en_US |
dc.type | Book | en_US |