Data Preparation, Modeling and Visualization with Python
An elective course in the Python for Data Science, Web and Core Programming Specialized Studies Program. An elective course in the Data Science Certificate Program.
Learn how to create business value by effectively importing, preparing, modeling and visualizing data using the Python programming language. Students will learn how to implement various models like linear regression, logistic regression, and decision trees; both supervised and unsupervised modeling techniques will be covered. Pandas and scikit-learn will be the primary Python packages covered in this course. Both of these packages provide power tools for those in machine learning, data science, data mining, and web data professions.
Click on "See Details" below and refer to "Special Notes" for additional section specific information.
SPRING 2025
Class Schedule
| Event | Date | Day | Start Time | End Time | Location | Room |
|---|---|---|---|---|---|---|
| Event Start | Date 4/7/2025 | Day MON | Start Time | End Time | Location Online (Access Begins) | Room --- |
| Event Synchronous Meeting | Date 4/7/2025 | Day MON | Start Time 05:30 PM | End Time 06:30 PM | Location Zoom | Room |
| Event Synchronous Meeting | Date 4/14/2025 | Day MON | Start Time 05:30 PM | End Time 06:30 PM | Location Zoom | Room |
| Event Synchronous Meeting | Date 4/21/2025 | Day MON | Start Time 05:30 PM | End Time 06:30 PM | Location Zoom | Room |
| Event Synchronous Meeting | Date 4/28/2025 | Day MON | Start Time 05:30 PM | End Time 06:30 PM | Location Zoom | Room |
| Event Synchronous Meeting | Date 5/5/2025 | Day MON | Start Time 05:30 PM | End Time 06:30 PM | Location Zoom | Room |
| Event Synchronous Meeting | Date 5/12/2025 | Day MON | Start Time 05:30 PM | End Time 06:30 PM | Location Zoom | Room |
| Event Synchronous Meeting | Date 5/19/2025 | Day MON | Start Time 05:30 PM | End Time 06:30 PM | Location Zoom | Room |
| Event End | Date 5/25/2025 | Day SUN | Start Time | End Time | Location Online (Access Ends) | Room --- |
Textbook not required; you will be notified if this changes.
Meet Your Instructor(s)
Special Notes
This course will host live sessions via Zoom. A device with audio and visual will be needed to participate. Synchronous sessions are highly encouraged for an interactive learning experience but are optional. Sessions are recorded and available for viewing, allowing learners to engage with the content at their convenience.
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