MSDA 6333 Applied Data Analysis, Computation, and Programming
Applied Data Analysis, Computation, and Programming gives students an overview of introductory programming techniques for the purpose of data collection, cleansing, management, and analysis. Emphasis will be placed on applied programming topics including functions, debugging, data classes, looping, data structures, and data types and operations. Students will also learn how to use Python to apply computational methods including generating descriptive statistics, performing graphical analyses, estimating inferential models, big data analysis and inference, and utilizing machine learning techniques with emphasis on the application of algorithms versus their development. Students will also be introduced to dynamic programming, stochastic programs, Monte Carlo simulation, and Bayesian statistics. How to communicate the results of data analysis projects to firm stakeholders will also be covered.
Offered
Summer, Fall, Spring