BDA103A – Introduction to Data Visualization Part 1

Associate of Applied Science in Business Data Analytics

Course ID

BDA 103A

Course Credits

4

About BDA103A – Introduction to Data Visualization Part 1

This course represents the 1st half in a two-part class for the introduction data visualization techniques. Students will be exposed to different forms of analytics and how to select the appropriate tool and graphing technique to fit the data. The learner will practice reviewing a data set, identifying the overall message, and then selecting an appropriate Key Performance Indicator (KPI) to enable insight from the data. concerning creating, reading, updating, and deleting data will be presented. Additional topics introduced include data types, tables, keys, relationships, functions, indexes, views, stored procedures, and optimization and replication. Upon completion of the course students will be able to understand how to create, modify, and maintain SQL databases to provide in-depth software-based solutions.

Topics Covered In Course

BDA 103A Topics

  • Define analytics and describe the different types of analytics
  • Describe the different types of data and give an example of each 
  • Describe various examples of data visualization used in practice
  •  Identify the various charts defined in this chapter 
  • Create and Modify charts and graphs using Excel  
  • Identify an appropriate chart type for a given goal and data type 
  • Recognize which chart types should be avoided and explain why 
  • Define the meaning of preattentive attributes and explain how preattentive attributes associated with color, form, spatial positioning, and movement are used in data visualizations 
  • Explain how the Gestalt principles of similarity, proximity, enclosure, and connection can be used to create effective data visualizations 
  •  Define data-ink ratio and explain how increasing this ratio through decluttering can create data visualizations that are easier to interpret

Prerequisites

Students must have experience using a keyboard and mouse in a GUI-based OS such as Microsoft Windows or Macintosh and understand how to download and install programs found on the Internet. 

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Enrollment Deadline - September 23, 2024!

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