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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.

  • Details
  • $725
  • April 24, 2023 to June 18, 2023
  • Delivery Mode: Online
  • Reg#: 00138
  • ID/Units: PUBHLTH X400.03  (2.50)
    ( Section 1 )
  • Quarter: SPRING 2023


Dr. Mountasser Kadrie has over 30 years of healthcare executive management experience, from holding executive leadership appointments at world-renowned health systems and leading academic medical centers. Dr. Kadrie’s executive expertise has been focused on developing and implementing strategies to maximize organizational performance and promote transformational change. Dr. Kadrie is a Fulbright Fellow, Fellow of the American College of Healthcare Executives (FACHE), Fellow of the American College of Medical Practice Executives (FACMPE), and a Fellow of the Healthcare Information and Management Systems Society (FHIMSS). He is a Board Certified Senior Examiner with the Malcolm Baldrige National Quality Performance Program. Dr. Kadrie is a subject matter expert and has consulted extensively with universities, and national and international healthcare organizations, in healthcare strategy development, change management, and digital health transformation.

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
Book - ISBN: 9781284180909
Kris Jamsa, 1 ed, Jones & Bartlett Learning

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START04/24/2023Monday------Online (Access Begins)---
END06/18/2023Sunday------Online (Access Ends)---