DAT 202 - Advanced Analytic Methods
Credits: 3
3 Skills Lab Hours
Prerequisites: DAT 204 or instructor permission
Description
Building upon the principles set forth in prior coursework, students engage in a comprehensive approach to the application of data analytics in the solving of business problems by employing the techniques frequently used in the discipline. Emphasis is placed on the different types of forecasting techniques such as sales, risk, retention and attrition as applied to a variety of industries.
Learning Outcomes
Upon successful completion of the course, the student will:
- Differentiate the data needs for the different forecasting techniques.
- Implement data analytics forecasting.
- Collaborate on using data for forecasting.
- Illustrate forecasts using data visualization.
- Describe the legal and ethical implications of data analytics in organizations and society.
Listed Topics
- Forecasting techniques
- Forecasting with data
- Collaboration in data analysis
- Data visualization
- Data laws and ethics
Reference Materials
Appropriate textbook, computer lab and other materials selected by the instructor
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: - Critical Thinking & Problem Solving
- Culture Society & Citizenship
Approved By: Dr. Quintin B. Bullock Date Approved: 12/14/2020
Last Reviewed: 12/14/2020
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