Course Outline

Day 1:

  • Introduction to Data Visualization for Government
  • The Importance of Data Visualization in Public Sector Operations
  • Differentiating Data Visualization from Data Mining for Government
  • Understanding Human Cognition and Its Impact on Data Interpretation
  • Human-Machine Interaction (HMI) Principles for Effective Data Presentation
  • Avoiding Common Pitfalls in Data Visualization for Government

Day 2:

  • Types of Curves and Their Applications in Government Data Analysis
  • Drill-Down Techniques for Detailed Curve Analysis
  • Categorical Data Plotting Methods for Government Use
  • Multi-Variable Plots for Complex Data Sets in the Public Sector
  • Data Glyphs and Icon Representation for Enhanced Visualization

Day 3:

  • Plotting Key Performance Indicators (KPIs) with Government Data
  • Examples of R and X Charts in Government Operations
  • Designing What-If Dashboards for Decision-Making in the Public Sector
  • Mixing Parallel Axes for Comprehensive Data Visualization
  • Combining Categorical and Numeric Data for Effective Presentation

Day 4:

  • The Multiple Roles of Data Visualization in Government Operations
  • Identifying and Mitigating Misleading Aspects in Data Visualization for Government
  • Recognizing Disguised and Hidden Trends in Public Sector Data
  • A Case Study on Visualizing Student Data for Educational Policy
  • Utilizing Visual Queries and Region Selection Techniques for Enhanced Analysis

Requirements

A foundational understanding of data visualization techniques, including the creation of X-Y graphs, histograms, and scatter plots, is essential. Additionally, familiarity with identifying trends in data and constructing time series graphs is crucial for government analysts to effectively communicate insights and support informed decision-making for government operations.
 28 Hours

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