To convey the true meaning of data most effectively, data scientists and data management professionals need to be able to harness the capabilities of different approaches of storytelling with data. This 14-video course explores how to select the most effective visuals for a storytelling project, how to eliminate clutter, and how to choose the best practices for story design. In addition, learners will see demonstrations of how to work with Tableau and Power BI bar charts to facilitate storytelling with data. Learn to select appropriate visuals for your data storytelling project; how to use slopegraphs; and learn important steps to take in cluttering and de-cluttering data. Explore the gestalt principle, as well as common problems of visual story design. In the concluding exercise, learners will load data by using Power BI from a CSV file; create a bar chart by using the data; and create a pie chart to show the whole-part relation in the data.
Learning Objectives
To convey the true meaning of data most effectively, data scientists and data management professionals need to be able to harness the capabilities of different approaches of storytelling with data. This 14-video course explores how to select the most effective visuals for a storytelling project, how to eliminate clutter, and how to choose the best practices for story design. In addition, learners will see demonstrations of how to work with Tableau and Power BI bar charts to facilitate storytelling with data. Learn to select appropriate visuals for your data storytelling project; how to use slopegraphs; and learn important steps to take in cluttering and de-cluttering data. Explore the gestalt principle, as well as common problems of visual story design. In the concluding exercise, learners will load data by using Power BI from a CSV file; create a bar chart by using the data; and create a pie chart to show the whole-part relation in the data.
Framework Connections
Specialty Areas
- Data Administration
Feedback
If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.