Analytical Methods and Techniques with Data Science

Catalog description

This course develops the skills and conceptual framework that enable students to become effective practitioners in the use of data to solve practical problems. The topics will include specialized analytical methods and techniques such as exploratory data analysis, data wrangling, descriptive statistics, time series analysis, modeling and simulation, machine learning, regression, classification, hypothesis testing, and data visualization. Students complete structured instructional modules focused on methods of collecting, analyzing and interpreting data relevant to fields in integrated science and technology. Skills for data exploration, analysis and project management will be developed through analysis of real-world datasets.