MTH 292: Data Science

Fall 2013
Offered at Smith College.
Professor Benjamin Baumer

Description

Computational data analysis is an essential part of modern statistics. This course provides a practical foundation for students to compute with data, by participating in the entire data analysis cycle (from forming a statistical question, data acquisition, cleaning, transforming, modeling and interpretation). This course will introduce students to tools for data management, storage and manipulation that are common in data science and will apply those tools to real scenarios. Students will undertake practical analyses using real, large, messy data sets using modern computing tools (e.g. R, SQL) and learn to think statistically in approaching all of these aspects of data analysis.