Introduction to Health Care Data Analytics: Module 3, Working with Data
Introduction to Health Care Data Analytics, Module 3: Working with Data. This module defines different data types and reviews basic statistical methods for summarizing, describing and displaying data. 1. Describe the information value chain. 2. Discuss the importance of data context and relevance to business processes. 3. Define common data types. 4. Define basic statistical terms. 5. Recognize common patterns or distributions in statistics. 6. Describe distributions using numerical measures such as mean, median and standard deviation. 7. Identify common graphical representations of data including histograms, bar charts and scatterplots.
- Date:
- 2017
- Primary Material Type:
- Collection
- Other Material Types:
- Assessment Tool, Assignment, Drill and Practice, Presentation, Quiz/Test, Reference Material, Workshop and Training Material
- Institution:
- Bellevue College
- Funding Source:
- TAACCCT Round 2
Industry / Occupation
- Industry Partner:
- HIMSS, VA
- Industry Sector:
- Health Care and Social Assistance (62)
- Occupation:
- Healthcare Practitioners and Technical Occupations (29-0000)
Education / Instructional Information
- Instructional Program:
- Health Professions and Related Clinical Sciences (51)
- Educational Level of Materials:
-
- 1st year Community College or equivalent
- 2nd Year Community College or equivalent
- Upper division of Bachelors degree or equivalent
- Time Required:
- 4-6 hours
- Language:
- English (United States)
- Interactivity Type:
- Mix of Active and Presentation.
- Quality Rubric:
- Other
- Quality of Subject Matter was assured by:
-
- Consultations during development of instructional materials
- Participation as an ongoing member of team developing the instructional materials
- Quality of Online/Hybrid Course Design assured by:
-
- Course Note:
- Introduction to Health Care Data Analytics
Copyright / Licensing