forked from D-Net/dnet-hadoop
93 lines
5.5 KiB
XML
93 lines
5.5 KiB
XML
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<datacite:identifier identifierType="URL">http://data.d4science.org/ctlg/ResourceCatalogue/visual_analytics_for_data_scientists</datacite:identifier>
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<datacite:creatorName>BRAGHIERI MARCO</datacite:creatorName>
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</datacite:creators>
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<datacite:titles>
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<datacite:title>Visual Analytics for Data Scientists</datacite:title>
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</datacite:titles>
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<datacite:publisher>SoBigData++</datacite:publisher>
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<datacite:description descriptionType="Abstract">Participants to this module shall
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- Learn the principles and rules underlying the design of visual data
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representations and human-computer interactions
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- Understand, adapt and apply representative visual analytics methods and systems for diverse types
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of data and problems
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- Analyse and evaluate the structure and properties
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of data to select or devise appropriate methods for data exploration
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- Combine visualization, interactive techniques, and computational
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processing to develop practical data analysis for problem solving
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(This teaching material on Visual Analytics for Data Scientists is part of a MSc module at City University London).
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The author did not intend to violate any copyright on figures or content. In case you are the legal owner of any copyrighted content, please contact info@sobigdata.eu and we will immediately remove it</datacite:description>
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</datacite:descriptions>
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