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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

Analytics acts as the source for data visualization and contributes to the health of any organization by identifying underlying models and patterns and predicting needs. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. Visualizations: past, present, and future.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

To this end, the IOC set up the IKL unit within its technology and information department. This means Chris and his team are tracking things like occupancy numbers and traffic volumes, as well as the use of certain technologies in those spaces. “We This analytics engine will process both structured and unstructured data. “We