Introduction to Data Science

Catalog description

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, logistic regression, unsupervised learning including k-means clustering, and time series analysis with relational and non-relational databases.