Introduction to Health Care Data Analytics: Module 4, Data Analysis Tools and Techniques
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Keywords
Project
Authors
Date Submitted
2017
Material Type
Collection
Secondary Material Type
Assessment Tool
Assignment
Drill and Practice
Presentation
Quiz/Test
Reference Material
Workshop and Training Material
Assignment
Drill and Practice
Presentation
Quiz/Test
Reference Material
Workshop and Training Material
Institution
Bellevue College
Industry Partner
HIMSS, VA
License
CC BY-NC-SA
Funding Source
TAACCCT Round 2
Additional Public Access
Abstract
Introduction to Health Care Data Analytics, Module 4: Data Analysis Tools and Techniques. This module explores the role of the data analyst, the process of data analysis and the various tools and techniques used. Also covered are databases and data warehouses, describing the conceptual database models for various types of databases as well as the advantages and disadvantages of each. 1. Define data analytics terms. 2. Describe the process steps of data analytics and the tools used in each step. 3. Describe the role of the data analyst. 4. Identify tools and techniques used to analyze and interpret healthcare data effectively. 5. Describe the various types of databases and how they are structured. 6. Describe key data warehouse concepts. 7. Describe enterprise data architecture as seen in health care organizations.
Industry (NAISC)
Health Care and Social Assistance (62)
Occupation (SOC)
Healthcare Practitioners and Technical Occupations (29-0000)
Instructional Program (CIP)
Health Professions and Related Clinical Sciences (51)
Credit Type
Credential Type
Certificate
Educational Level
1st year Community College or equivalent
2nd Year Community College or equivalent
Upper division of Bachelors degree or equivalent
2nd Year Community College or equivalent
Upper division of Bachelors degree or equivalent