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Continuing Education

CCTP120 - Advanced Programming with Python

Course Code:  
CCTP120
Campus:  
Prerequisite:
Pre-requisite: CCTP100 and CCTP110

Course Code

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Campus

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Course Overview

This course explores how to build end-to-end data workflows using Python. Learners will automate web data collection, clean and transform datasets, create both static and interactive visualizations, and apply basic machine learning models. Key tools include BeautifulSoup, Selenium, pandas, Matplotlib, Seaborn, Plotly, and scikit-learn. With the skills gained in this course, you will be able to automate data-driven insights using modern Python libraries and techniques.

Upcoming Offerings

This course is part of these programs or course groups:

Python Developer


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Delivery Methods

  • Face to Face: Where: In-person meetings. When: Course is scheduled at a specific time for students to attend. Face-to-face instruction at all class meetings. Location may be on campus or at a worksite.
  • Blended: Where: Mixture of in-person & online components. When: Course is scheduled at a specific time for students to attend. Combination of face-to-face and online components at specific times. Some online components may be accessed online anytime.
  • Hyflex: Where: Choice to attend in-person or online meetings. When: Course is scheduled at a specific time for students to attend. For each class, students choose to attend in-person with the instructor or online at a specific time.
  • Remote Live Delivery: Where: Online with instructor. When: Course is scheduled at a specific time for students to attend. Instruction is delivered at set times online. Students do not come to campus.
  • Remote On-Demand Delivery: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online. While there are no set class meetings, there may be set due dates and deadlines for some activities. Students may interact with peers through virtual tools.
  • Remote Independent: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online, with no instructor support. While students choose when to do coursework, there may be set due dates and deadlines. 
  • Work Placement: Where: In-person meetings. When: Work is scheduled at a specific time for students to attend. Onsite work integrated learning. Location at a worksite.
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