Introduction to Applied Data Management

Catalog description

This course is a survey of important data management topics and techniques. Topics include: data programming and manipulation, data storage and security, data cleaning, relational database theory and legal and ethical issues of data management. Software tools covered in the course include SPSS, SAS, R, Excel, MySQL, GIT/GitHub, Hadoop, MapReduce, and Python. A number of guest lecturers will present case studies of real-world data management. A key aspect of the course will be weekly labs by in-class working groups. (Offered in Fall)