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AIM111: Introduction to Data Science
– 3 credits
Introduction to the basics of data science, including data handling, problem framing in a data-centric context, the foundational techniques of exploratory data analysis (EDA), data visualization, and data ethics. Students will gain practical experience in using various data science libraries and tools through hands-on exercises and projects. Prerequisites: A grade of C or better in (CSC101 and AIM100) or permission of Program Director.
Class#
Location
Delivery
Dates
Days
Times
Instructors
Availability
32949
Chandler-Gilbert: Pecos Campus
Williams Cooper Hall Rm 111
Hybrid In-Person
08/25 –
12/19
Fall 2025
M,W
3:30PM – 4:45PM
- H. Matar
Open
18 of 24 Seats Available
-
Notes
- Notes: Open Educational Resources (OER) are learning, teaching, and research materials in any format and medium that reside in the public domain or have an open license copyright that permits no-cost access, re-use, re-purpose, retention, redistribution, and adaptation by others.
Log into Canvas by the class start date at https://learn.maricopa.edu
Hybrid classes combine a reduced amount of scheduled classroom time with required out-of-class learning activities, typically conducted online.
-
Textbook info pending
AIM111: Introduction to Data Science – 3 credits
Introduction to the basics of data science, including data handling, problem framing in a data-centric context, the foundational techniques of exploratory data analysis (EDA), data visualization, and data ethics. Students will gain practical experience in using various data science libraries and tools through hands-on exercises and projects. Prerequisites: A grade of C or better in (CSC101 and AIM100) or permission of Program Director.
| Class# | Location | Delivery | Dates | Days | Times | Instructors | Availability |
|---|---|---|---|---|---|---|---|
|
32949
|
Chandler-Gilbert: Pecos Campus
Williams Cooper Hall Rm 111 |
Hybrid In-Person
|
08/25 –
12/19
Fall 2025 |
M,W
|
3:30PM – 4:45PM
|
|
Open
18 of 24 Seats Available |
|
|||||||