CTS 2417 - Data Visualization Techniques

College of Computer & Information Technology

Credit(s): 3
Contact Hours: 47
Effective Term Spring 2019 (555)

Requisites

Prerequisite CGS 1515 with a minimum grade of C

Course Description

This course introduces students to key design principles and techniques for interactively visualizing data. In addition to understanding how visual representations are used in the analysis and understanding of complex data, students will acquire data visualization skills including designing effective visualizations and creating interactive visualizations using spreadsheets.

Learning Outcomes and Objectives

  1. The student will develop visuals for communicating information by:
    1. creating cross tabulations.
    2. creating pivot tables.
    3. creating scatter charts.
    4. creating line, bar, and column charts.
    5. creating bubble charts.
    6. creating heat maps.
  2. The student will identify and analyze misleading charts and visualizations by:
    1. describing how human error and bias can affect visualizations.
    2. determining misleading chart scales.
    3. explaining the difference between explanatory and exploratory visualizations.
  3. The student will apply the principles of data dashboard design by:
    1. identifying Key Performance Indicators (KPIs).
    2. explaining why graphical dashboards are preferred over text/report based graphics.
    3. discussing the importance of providing drill-down of real-time data in a dashboard.

Criteria Performance Standard

Upon successful completion of this course, the student will, with minimum 70% accuracy, demonstrate mastery of each of the above stated objectives through classroom measures developed by the individual course instructors.

History of Changes

C&I Approval: 07/26/2018, BOT Approval: 09/18/2018, Effective Term: Spring 2019 (555)

Related Programs

  1. Business Analyst Specialist (ANLST-ATC) (625) (Active)
  2. Data Science (DATSCI-AS) (640) (Active)