Machine Learning for Healthcare Professionals
About this course
Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.
82/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand major data mining methods
- select appropriate data mining techniques for healthcare
- gain basic programming skills
- familiarity with data cleaning and transformation processes
- apply data modeling in real-world healthcare problems
Course objectives
- examine data mining perspectives in healthcare
- introduce theoretical foundations of data mining
- focus on practical problem-solving in healthcare
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