The full data analysis lifecycle from collection to presentation. Practical application of exploratory statistical, analytical, and visualization techniques to real-world data with a focus on critical thinking, accuracy, and ethics.
This course may not be repeated for credit.
Prerequisite(s)
- 3 units from Computer Science 319, 331 or Data Science 311.
Antirequisite(s)
- Credit for Computer Science 573 and 599.87 will not be allowed.
Sections