Course Outline
Day 1:
- Introduction to Data Visualization for Government
- Importance of Data Visualization in the Public Sector
- Data Visualization vs. Data Mining: Key Differences
- Understanding Human Cognition and Its Impact on Data Visualization
- Human-Machine Interaction (HMI) Principles for Effective Visualization
- Common Pitfalls to Avoid in Data Visualization
Day 2:
- Types of Curves and Their Applications in Government Data
- Drill-Down Techniques for Detailed Curve Analysis
- Categorical Data Plotting for Clear Communication
- Multi-Variable Plots to Enhance Data Insights
- Data Glyphs and Icon Representation for Complex Data Sets
Day 3:
- Plotting Key Performance Indicators (KPIs) with Government Data
- Examples of R and X Charts in Public Sector Applications
- Designing What-If Dashboards for Decision Support
- Parallel Axes Mixing for Multi-Dimensional Data Analysis
- Combining Categorical and Numeric Data for Comprehensive Insights
Day 4:
- The Multiple Roles of Data Visualization in Government
- Identifying and Addressing Misleading Visualizations
- Uncovering Disguised and Hidden Trends in Public Sector Data
- A Case Study: Analyzing Student Data with Data Visualization Techniques
- Visual Queries and Region Selection for Enhanced Data Exploration
Requirements
A basic understanding of data visualization techniques, including the creation of X-Y graphs, histograms, and scatter plots, as well as a general comprehension of data trends and time series graphing, is required for government professionals.
Testimonials (7)
I enjoyed the good real world examples, reviews of existing reports.
Ronald Parrish
Course - Data Visualization
I liked the examples.
Peter Coleman
Course - Data Visualization
I liked the examples.
Peter Coleman
Course - Data Visualization
I am a hands-on learner and this was something that he did a lot of.
Lisa Comfort
Course - Data Visualization
I really liked the content / Instructor.
Craig Roberson
Course - Data Visualization
Trainer was enthusiastic.
Diane Lucas
Course - Data Visualization
Learning about all the chart types and what they are used for. Learning the value of cluttering. Learning about the methods to show time data.