| dc.contributor.author | University, of Mary Washington | |
| dc.date.accessioned | 2022-12-01T09:24:04Z | |
| dc.date.available | 2022-12-01T09:24:04Z | |
| dc.date.issued | 2020 | |
| dc.identifier.isbn | 9781715320041 | |
| dc.identifier.uri | http://oer.just.edu.jo/xmlui/handle/123456789/360 | |
| 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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | University of Mary Washington | en_US |
| dc.subject | The Crystal Ball Instruction Manual - version 1.1 Volume One: Introduction to 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 |
