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In life sciences, simple statistical software can analyze patient data. These traditional tools are often more than sufficient for addressing the bread-and-butter analytics needs of most businesses. While this process is complex and data-intensive, it relies on structureddata and established statistical methods.
Though you may encounter the terms “data science” and “dataanalytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, dataanalytics is the act of examining datasets to extract value and find answers to specific questions.
Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats. Data visualization is used to make the consuming, interpreting, and understanding data as simple as possible, and to make it easier to derive insights from data.
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