CFI 2072 - Visualization and Reporting for Big Data

Credits: 3
Hours/Week: Lecture 2 Lab 2
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

Practicum hours per week: 0

Courses and Registration