HIT 216 - Healthcare Data Analytics
Credits: 3
1 Lecture Hours 4 Lab Hours
Prerequisites: HIT 100 , HIT 103 or MAT 165
Description
This course allows students to manage, analyze, interpret and transform data. Commonly used software and tools for data and databases are introduced including Python, Structured Query Language (SQL), Statistical Analysis Software (SAS), Statistical Package for Social Sciences (SPSS), Cognos and Qlik. Students are prepared for the competencies addressed in the Certified Healthcare Data Analyst (CHDA), including cleaning and organizing data for transformation, visualizations and validation.
Learning Outcomes
Upon completion of this course, students will:
- Assess the stakeholders and facilitate root cause identification.
- Evaluate external measures or requirements.
- Determine analytical methods and create an analysis plan.
- Extract and examine data or information.
- Perform data extraction, cleaning, validation and mapping.
- Utilize industry-specific tools.
Listed Topics
- Database queries
- SAS and SQL
- Data mining
- Data validation
- Data visualization and presentation
Reference Materials
Appropriate software and textbooks
Students who successfully complete this course acquire general knowledge, skills and abilities that align with CCAC’s definition of an educated person. Specifically, this course fulfills these General Education Goals: - Quantitative & Scientific Reasoning
- Technological Competence
Approved By: Dr. Quintin B. Bullock Date Approved: 2/13/2021
Last Reviewed: 2/13/2021
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