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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

Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. This data is gathered into either on-premises servers or increasingly into cloud data warehouses and data lakes.

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

Sisense

“We get access, post-Games, to the ticket data to analyze any patterns in terms of incidents and responses.”. Descriptive analytics also help them understand the number of athletes and workers required to support that specific competition or sport. This analytics engine will process both structured and unstructured data. “We