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.
file Introduction to Health Care Data Analytics, Module 3 (472 MB)

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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)
Credit Type:
  • Non-Credit
Credential Type:
  • Certificate
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:
  • Other Rubric
Course Note:
Introduction to Health Care Data Analytics

Copyright / Licensing

 

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