Management Concepts

Data Visualization

Available dates

Feb 18—19, 2020
2 days
Washington, District of Columbia, United States
USD 869
USD 434 per day
Apr 9—10, 2020
2 days
Washington, District of Columbia, United States
USD 869
USD 434 per day
May 28—29, 2020
2 days
Denver, Colorado, United States
USD 869
USD 434 per day
+5 more options


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About the course

Spreadsheets and large tables can be complex, difficult to decipher, and present barriers to extracting valuable information parsed from an organization’s data. Applying best practices for data visualization will allow you to solve problems, identify how to use visuals in presentations and reports, and make decisions. You will learn the basics of the visual perception of data as well as strengthen and practice these new techniques through a capstone exercise.

Learning Objectives

  • Describe the importance of data visualization for business intelligence and decision-making
  • Identify purposes and uses of data visualization for the organization
  • Analyze effective design practices for data visualization
  • Compare and contrast performance measurement data using effective data visuals
  • Use data visuals to convey distribution, and relationships
  • Construct effective data visuals to solve workplace problems

Course Topics

Introduction to Data Visualization

  • What Is Data Visualization?
  • Benefits of Data Visualization

Designing Effective Data Visuals

  • Processing Visual Information
  • Best Practices for Data Visualization Design

Analyzing Trends and Patterns

  • Showing Distributions
  • Uncovering Relationships

Data Visualization Applications

  • Data Visualization for Analysis and Decision-Making
  • Meeting Organizational Objectives

Making Performance Comparisons

  • Displaying Basic Comparisons
  • Showing Deviation

Time Series Analysis

  • Conveying Time Series

Problem-Solving with Data Visualization

  • Using Data Visualization to Address Workplace Problems

Who should attend

This course is an entry-level course for those who are interested in or work with data sets for visual presentation.

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