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Data Visualization in Data Science

Having data is not enough. Adding context to data is essential to understand the data, find patterns and engage audiences. Data visualization is a key element of data science, the interdisciplinary field which deals with finding insights from data. In this webinar, we explore the roles of data visualization at different stages of the data science process, and why it is essential. We also look at how data is encoded visually with shape, size, color and other variables and also the basic principles of visual encoding can be applied to build better visualizations. We cover narratives, types of bias and maps. Finally we look at how various tools – both open source and off-the-shelf software that’s used in data science to build effective data visualizations.
Recorded Jul 16 2015 49 mins
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Presented by
Maloy Manna, Project Manager, AXA Data Innovation Lab
Presentation preview: Data Visualization in Data Science

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  • Title: Data Visualization in Data Science
  • Live at: Jul 16 2015 11:00 am
  • Presented by: Maloy Manna, Project Manager, AXA Data Innovation Lab
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