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03. Data Analysis Software

To process and analyze data, we use software.  It is important to understand the difference between algorithms and software, the importance of open source software, and the principles and mechanics of how non-programmers use software.

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06. Data Analysis Tasks (1)

Introduction, Classification. There are many different kinds of data analytics tasks.  Are you looking to characterize objects, or just find repeating patterns on your data?   Classification is a common data analytics task, which involves assigning a category (i.e., a class) for a new instance.

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07. Data analysis tasks (II)

Pattern Discovery, Clustering, Simulation. Discovering patterns in data, clustering objects, and simulating scenarios for prediction are all data analytics tasks.

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