Data Manipulation Techniques

Data Manipulation Techniques

BDAT 1000

Large, complex, and diverse data sets require manipulation to parse, split, edit and establish correlations between sets. In this course, students examine common methods and tools that can be utilized to efficiently parse, query and display raw data sets. Students learn how to programmatically extract data from a variety of file formats and sources.

Credits

3

Course Hours

42

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.

Contact coned@georgiancollege.ca or call 705.722.5149 for more information.