HIT 103 - Healthcare Statistics & Data Mining
Credits: 4
2 Lecture Hours 4 Lab Hours
Prerequisites: HIT 100 , CIT 100 , MAT 108
Description
This course presents an introduction to statistics. Students learn descriptive methods, probability theory, probability distributions, sampling distributions, statistical inference and linear regression and correlation. Other topics include data mining, calculating statistics for healthcare operations, data visualization, research methodologies in healthcare and data management.
Learning Outcomes
Upon successful completion of the course, the student will:
- Generate statistical reports.
- Analyze and clean data for visualization and mining.
- Create visualizations of data and calculations for presentation.
- Design data presentations utilizing Tableau and Excel.
- Apply research methodologies.
Listed Topics
- Probability and statistics
- Healthcare statistics
- Data manipulation
- Data presentation
Reference Materials
Textbook, software packages, various internet sites, etc.
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
Course and Section Search
Add to Portfolio (opens a new window)
|
Print this Page