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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
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.