Continuing Education

CCTB463 - Data Mining and Data Visualization

Course Code

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Campus

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Course Overview

Enhance your data science knowledge through the use of innovative data mining and data visualization techniques. With the skills gained in this course, you will be able to visualize and analyze data and build interacting data dashboards. Data mining allows you to uncover useful patterns in data; data visualization provides the graphical representation of that data. Upon successful completion of this course, you will be able to build dashboards for data analysis and storytell with data. You will also be able to use Tableau and matplotlib in Python and scikit-learn library. As a graduate you will also be able to describe unsupervised data techniques, like clustering, dimensionality reduction, and association rule mining.

It is recommended that you complete CCTB462 Data Processing in Python before enrolling in this course.

Upcoming Offerings

This course is part of these programs or course groups:

Data Science


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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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