COMP 5500 - Introduction to Data Science (3)

This course is an introduction to data science and the analysis of large data sets in order to draw insights and to extract information. The course covers using Python libraries for reading large data sets including Numpy and Pandas, reading input from standardized formats, calculating statistical measures from large data sets, linear regression, and evaluating model accuracy, precision and sensitivity. The course also covers logistic regression, unsupervised learning including k-means and hierarchical clustering, and time-series analysis with relational and non-relationship databases. It also covers sentiment analysis and recommendation systems. Prerequisite(s): None