May 20, 2024  
2023-2024 Course Catalog 
    
2023-2024 Course Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

CFI 2072 - Visualization and Reporting for Big Data

Credits: 3
Hours/Week: Lecture 2 Lab 2
Internship hours per week 0
Course Description: This course provides an introduction to as well as hands-on experience in data visualization. Course topics include design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making and step-by-step guidance through complex searches to produce multiple types of graphs and customized visualizations. Course activities provide opportunities to create reports as well as complex dashboards, forms, and visualizations. Course materials include both open-source and commercial technology tools like Tableau.
MnTC Goals
None

Prerequisite(s): CFI 1071  with a grade of C or higher or instructor consent
Corequisite(s): None
Recommendation: None

Major Content
  1. Data Visualization, and it`s importance.
  2. Visual Perception
  3. Brief History of Data Visualization
  4. Data Design Principles
  5. The Value of Visualization
  6. The Fundamental of Data Visualization
  7. Managing Data Extracts
  8. Data Prep with Text and Excel Files
  9. Join Types with Union
  10. Cross-database Joins
  11. Data Blending
  12. Connecting to PDFs
  13. Calculations in Tableau
  14. The Use of Color in Data Visualization
  15. Dashboards and Stories,
  16. Visual Analytic
  17. Interactive Visualizations
  18. Mapping Data

Learning Outcomes
At the end of this course, students will be able to:

  1. demonstrate how to collect and process data.
  2. create an interactive visualization that provides insight into a problem, situation, or phenomenon. 
  3. identify design principles that make good visualizations effective. 
  4. critique various visualizations. 
  5. describe challenges in making data understandable across a wide range of potential audiences.
  6. complete the design and analysis of underlying data.
  7. demonstrate how to publish or promote acceptance of data presentation. 

Minnesota Transfer Curriculum (MnTC): Goals and Competencies
Competency Goals (MnTC Goals 1-6)
None
Theme Goals (MnTC Goals 7-10)
None


Courses and Registration



Add to Portfolio (opens a new window)