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Data Mining, Visualization and Decisioning for Health
Course Description
This course introduces topics on data mining and visualization tools that are necessary to facilitate the decision-making process to improve healthcare outcomes and support strategic and operational decisions. Students review basic concepts, principles, methods, design and implementation techniques, and applications of data mining and data visualization models and applications. Students gain core competency skills in data mining to access and create processed datasets, compatible for creating visualization tools such as dashboards, executive summaries, and clinical and operational reports to optimize clinical and business outcomes.
Prerequisites: PUBHLTH X400 Healthcare Analytics may be instrumental before taking this course if one does not already have an overview understanding of the field.
An understanding of how to use MS-Excel for some data preparation operations is useful.
Instructor
Textbook Information
Textbooks for your course may be purchased from any vendor or bookseller of your choice.
Required Textbook(s):
Introduction to Data Mining and Analytics 9781284180909
Meeting Schedule
Event Date Day Start Time End Time Location Room
START 04/24/2023 Monday --- --- Online (Access Begins) ---
END 06/18/2023 Sunday --- --- Online (Access Ends) ---