ANA 515 - Fundamentals of Data Storage, Cleaning and Retrieval

Credits: 3
Prerequisites ANA-505
This course prepares students to identify data patterns, cluster data, text retrieval, and text mining of both structured and unstructured data. Students will learn computational processes to automatically correct errors in large data sets when possible, identifying short-comings in these approaches and manual approaches when necessary. Students will also learn techniques for error detection using readily available data sets.