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CMPS 240 - DATA ANALYTICS IN PYTHON |
This course covers the necessary programming techniques for working in data analytics - with a focus on data structures. the use of external data sources such as web services and databases, statistical and analytical programming, and data presentation. This course is not a suitable first course in computer programming, students are expected to already have experience in an object-oriented course such as Python (CMPS 130) or C++ (CMPS 148). Concepts such as working with web services and databases will offer students a suitable introduction to prepare them for 300-level course in these topics.
0.000 TO 4.000 Credit hours 0.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Hybrid, Lecture, Lecture/Online, Online Course All Sections for this Course Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: FOR CMPS 240 General Requirements: ( Course or Test: CMPS 130 Minimum Grade of D May not be taken concurrently. ) or ( Course or Test: CMPS 148 Minimum Grade of D May not be taken concurrently. ) |
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