Continuing Education

CCTB643 - Data Analysis and Visualization

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Course Overview

Data Analysis is the process of systematically applying statistical and/or logical techniques to describe, illustrate, condense, recap, and evaluate data. Upon successful completion of this course you will be able to apply Data Visualization tools and techniques to see data come to life.

Data Visualization is a term that describes any effort to facilitate the understanding of data by placing it in a visual context. Data Analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering valuable information, suggesting conclusions, and supporting decision-making.

Current Data Visualization tools go well beyond the standard charts and graphs used in Excel spreadsheets, displaying data in more sophisticated ways such as infographics, dials and gauges, geographic maps, spark lines, heat maps, and detailed bar, pie, and fever charts. Patterns, trends, and correlations that might go undetected in text-based data can be revealed and recognized more readily with Data Visualization software.

Graduates of this course will be able to describe the concepts, methodologies, and applications of data discovery and statistical analysis. You will also be able to pull query results into worksheets to create accurate and comprehensive visualizations of data. A well-crafted, thoughtful Data Visualization makes the lightbulb go off ...one that just doesn’t happen with a spreadsheet!

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Upcoming Offerings

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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