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May 20, 2024
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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
- Data Visualization, and it`s importance.
- Visual Perception
- Brief History of Data Visualization
- Data Design Principles
- The Value of Visualization
- The Fundamental of Data Visualization
- Managing Data Extracts
- Data Prep with Text and Excel Files
- Join Types with Union
- Cross-database Joins
- Data Blending
- Connecting to PDFs
- Calculations in Tableau
- The Use of Color in Data Visualization
- Dashboards and Stories,
- Visual Analytic
- Interactive Visualizations
- Mapping Data
Learning Outcomes At the end of this course, students will be able to:
- demonstrate how to collect and process data.
- create an interactive visualization that provides insight into a problem, situation, or phenomenon.
- identify design principles that make good visualizations effective.
- critique various visualizations.
- describe challenges in making data understandable across a wide range of potential audiences.
- complete the design and analysis of underlying data.
- 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
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