CIS606 - Applied Data Mining and Analysis of Big Data

This course will emphasize the extraction, transformation, and preparation of data from traditional relational databases, NoSQL, or software ecosystems such as Hadoop for analytical purposes. Students will be introduced to data wrangling, munging, and scraping of both structured and unstructured data. Furthermore, students will also be introduced to parallel computing for big data such as MapReduce and query languages like Apache Hive. An overview of data mining tools and techniques used to realize unseen patterns will be examined through the application of traditional statistical analysis and machine learning techniques.
Prerequisite(s): CIS 621 CIS 622 CIS 615
Credits: 3