MIS302 Data Analytics II
This course is the second part of a two-semester data analytics course, which aims to introduce data analytics for business. As a background, the first part of data analytics topics, including data-driven thinking, business problems and data science solutions, R Programming, R Data Environment, and learning from data -supervised versus unsupervised- will be covered. Similarity measures, clustering, dimension reduction, and a brief introduction to recent advancements in data analytics will be discussed.
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