INFO 659 Introduction to Data Analytics 3.0 Credits
Provides an overview of data analytics foundations and techniques for information professionals. Introduces fundamental concepts and theories of data and data science. Discusses methods and techniques of data representation, data analysis, and data visualization. Covers a range of tools and systems that can be used to discover insight and derive values from data.
College/Department: College of Computing and Informatics Repeat Status: Not repeatable for credit
Prerequisites: DSCI 511 [Min Grade: C], DSCI 521 [Min Grade: C] (Can be taken Concurrently) or INFO 540 [Min Grade: C] or INFO 590 [Min Grade: C] or INFO 648 [Min Grade: C]
In order to graduate, all students must pass three writing-intensive courses after their freshman year. Two writing-intensive courses must be in a student's major. The third can be in any discipline. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.
For additional information, and an up-to-date list of the writing-intensive courses being offered, students should check the Drexel University Writing Center page