University at Buffalo 3 credits Management Science and Systems
In large organizations, data invariably resides in multiple-platforms and in multiple formats. Therefore, it becomes essential to pre-process the data at appropriate levels of normalization for meaningful analysis. Extraction, transformation and loading data into structures such as data marts and data warehouses are essential steps to predictive data modeling and mining. These analytical tasks begin with a basic understanding of where the data is stored and how it can be assembled for business purposes. This course provides students with a hands-on introduction to data warehouse design, data cleansing, exploration, and visualization within a cloud-centric ecosystem.
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