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Aug 06, 2026
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2026-2027 Yavapai College Catalog
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CSA 320 - Advanced Data Science
Description: Advanced data analytics techniques to reveal insights from real-world data at scale by mastering best practice methodologies. Focus on interpreting findings, identifying issues, and communicating data-based solutions to organizational priorities through robust visual and analytical capabilities.
Prerequisites: CSA 110 and CSA 214
Credits: 3
Lecture: 3
Lab: 0
Course Content:
- Statistical analysis techniques
- Data mining and machine learning
- Prescriptive modeling
- Dashboard design principles
- Reporting and measurement
- Tools and techniques
Learning Outcomes:
- Generate descriptive statistics and visualizations from multidimensional data that provide interpretation, patterns and trends. (1, 4, 5)
- Apply predictive modeling techniques like regression, forecasting, machine learning, and neural networks to drive decisions. (2,6)
- Design analytical dashboards synthesized from statistical, temporal, spatial, and customized analytics. (4, 5)
- Assess analytics methodology assumptions and data quality issues. (1, 2, 3)
- Recommend prescriptive analytics and optimization approaches aligned to business objectives. (3)
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