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CIS256DA: Python for Data Analysis
– 3 credits
Introduction to data analysis concepts using Python's rich set of tools, libraries, and packages. Includes basic data analysis, creation of meaningful data visualizations, and advanced topics such as supervised and unsupervised machine learning techniques. Prerequisites: A grade of C or better in CIS156 or permission of Instructor.
Class#
Location
Delivery
Dates
Days
Times
Instructors
Availability
23465
Scottsdale
CIS/Math Bldg. CM 444
Hybrid In-Person
02/03 –
05/15
Spring 2026
Tu
6:00PM – 7:30PM
- R. Loy
Open
18 of 22 seats available
-
Notes
- Notes: This course will be taught with multiple attendance options.
Students have the flexibility to choose between on campus or Online instruction for each class meeting throughout the semester.
This class has optional, weekly lab hours. The optional weekly lab hours will be held LIVE Online, Tuesdays from 6:00pm - 7:00pm. These LIVE Online sessions will be conducted in the CIS Virtual Classroom using BigBlueButton.
This course requires the use of a computer or mobile device with internet access, a webcam, speakers and microphone.
This class has additional lab time associated with it. Students may complete this 50 minute per week requirement in the CIS Tutoring lab on campus or online virtually.
-
Textbook info pending
CIS256DA: Python for Data Analysis – 3 credits
Introduction to data analysis concepts using Python's rich set of tools, libraries, and packages. Includes basic data analysis, creation of meaningful data visualizations, and advanced topics such as supervised and unsupervised machine learning techniques. Prerequisites: A grade of C or better in CIS156 or permission of Instructor.
| Class# | Location | Delivery | Dates | Days | Times | Instructors | Availability |
|---|---|---|---|---|---|---|---|
|
23465
|
Scottsdale
CIS/Math Bldg. CM 444 |
Hybrid In-Person
|
02/03 –
05/15
Spring 2026 |
Tu
|
6:00PM – 7:30PM
|
|
Open
18 of 22 seats available |
|
|||||||