Cloud Based Data Engineering
The collection and preservation of data allows data scientists to reuse and repurpose data sets for different applications. In this course, students explore proper mechanisms used during collection, manipulation/processing, and storage of data to ensure validity, accuracy, completeness, consistency, and uniformity of the data. Students learn different collection methodologies used to gather information, along with efficient data processing solutions and proper storage techniques to make the information accessible, accurate, and readily available for future use.
PrerequisitesPost Graduate level BDAT 1002 Data System Architecture Minimum Grade of 60
Students registering for credit courses for the first time must declare a program at the point of registration. Declaring a program does not necessarily mean students must complete a program, individual courses may be taken for skill improvement and upgrading.
For more information, please contact Continuing Education