DATA VISUALIZATION (2/1 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: LO1 – describe various examples of data visualization used in practice; LO2 – explain how the Gestalt principles of similarity, proximity, enclosure, and connection can be used to create effective data visualizations; LO3 – interpret the visualizing variability; LO4 – Create an effective story for a presentation that considers the needs of the audience.

Topics:

1. Introduction to data visualizations;
2. Selecting a Chart Type;
3. Data Visualization and Design;
4. Purposeful Use of Color;
5. Visualizing Variability;
6. Case Study 1;
7. Review Material and Evaluation for Midterm;
8. Exploring Data Visually;
9. Explaining Visually to Influence with Data;
10. Data Dashboards;
11. Telling the Truth with Data Visualization;
12. Case Study 2;
13. Review and Evaluation for Final Exam;
14. Introduction to Data Visualization & Design;
15. Data Visualization and Design 01;
16. Data Visualization and Design 02;
17. Exploring Data Visually;
18. Data Dashboards;
19. Review and Project Collection;
20. Introduction to Data Visualization & Design;
21. Data Visualization and Design (Relationship and Distribution);
22. Data Visualization and Design (Composition and Comparison);
23. Exploring Data Visually;
24. Data Dashboards;
25. Review and Project Collection.