CT 6540 - Python for Data Science and Analytics

The course begins with a review of basic Python syntax, concepts and operation. The course will explore using JSON and SQL for data exchange and database access. Students will learn to work with the Python libraries that are used for mathematical calculations and data analysis, including: Pandas, NumPy, and SciPy. Once familiar with data generation, analysis and visualization techniques, the class will use Matplotlib to analyze data, and develop data-driven decisions. Prerequisites: CT 6530 - Python Programming Credits: 4 Students cannot take both CT 6535 Python and Data Analytics and CT 6540 Python for Data Science and Analytics for credit.