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Main
UQU Programs
Data Science

Data Visualization

DS3302
3 hours English

Data Visualization

Data Visualization
DS1103 Advanced Programming for Data Science
3 hours One requisite
1 Introduction to Data Visualization Concepts and Tools / What is Data Visualization and Why is it Important? / Overview of Visualization Types and Purposes / Introduction to Visualization Design Frameworks / Lab: / Tableau Setup / Exploring Tableau Interface / Connecting to Data Sources
2 Understanding Data and Mapping it to Visual Variables / Data types / Task Abstraction / Visual Variables / Lab: / Importing and Managing Different Data Types in Tableau / Exploring Dimensions and Measures / Creating Basic Charts
3 Visual Perception and Color Theory / Principles of Visual Perception: How People Interpret Visuals / Using Color Effectively in Visualizations / Designing for Accessability / Lab: / Applying Color Schemes in Tableau / Customizing Charts and Colors for Accessability
4 Chart Types and When to Use Them / Guidelines for Selecting Appropriate Charts / Common Charts and Their Uses / Avoiding Misleading Visualizations / Lab: / Creating and Customizing Common Chart Types in Tableau / Best Practices for Chart Selection
5 Exploring Multivariate Data and Creating Relationships / Working with Multiple Variables / Encoding Data Attributes for Clarity / Handling Complex Data Sets / Lab: / Creating Advanced Charts in Tableau (Scatterplots, Bubble Charts, ..) / Adding Filters and Interactions
6 Visualizing Data Distributions / Understanding Data Distributions / Highlighting Outliers / Lab: / Creating Histograms and Boxplots in Tableau / Using Calculated Fields and Statistical Calculations
7 Visualizing Time Series Data / Time Series Visualization / Best Practices for Time Series Analysis / Lab: / Creating Time Series Charts in Tableau / Using Data and Time Functions and Filters
8 Visualizing Relationships and Networks / Visualizing Relationships / Network Data Visualization / Lab: / Creating Network Diagrams in Tableau / Using Joins and Relationships
9 Maps and Geographic Data / Maps and Geographic Visualizations / Types of Maps / Lab: / Creating Maps in Tableau / Adding Geospatial Data / Using Map Filters and Zoom Functions
10 Interactive Visualizations / Interaction Design Principles / Dashboard Design / Lab: / Building Interactive Visualizations in Tableau / Adding Filters and Parameters
11 Storytelling with Data / Storytelling with Data / Lab: / Using Tableau Story Points / Enhancing Dashboards
12 Data Ethics and Best Practices / Ethical Issues in Data Visualization / Avoiding Misleading/Biased Visualizations / Lab: / Auditing a Tableau Dashboard for Ethical Issues / Implementing Best Practices for Ethical Visualization / Adding Annotations
13 Wrap-Up & Future Trends
14 Project Presentations, and Discussions
1.1 Mapped to: K1

Explain the fundamental concepts of data visualization, including data types, visual variables, and perception principles.

Teaching Strategy Lectures, Lab
Assessment Methods Exams, Project
1.2 Mapped to: K2

Identify the appropriate visualization techniques for different data types, audiences, and tasks.

Assessment Methods Exams, Project, Lab
1.3 Mapped to: K3

Discuss key principles of dashboard design, storytelling with data, and interactive visualizations.

Assessment Methods Exams, Project, Lab
2.1 Mapped to: S2

Develop interactive and static visualizations using modern tools.

Assessment Methods Project, Lab
2.2 Mapped to: S4

Evaluate and critique visualizations based on usability and ethical considerations.

Assessment Methods Exams, Project, Lab
2.3 Mapped to: S4

Present a data visualization project, demonstrating the ability to tell a compelling data story.

Assessment Methods Project, Lab
3.1 Mapped to: V1

Demonstrate ethical practice in data representation.

Assessment Methods Project
3.2 Mapped to: V2

Fostering a culture of constructive feedback and continuous improvement.

Assessment Methods Lab, Project
Assessment
Weight
Midterm Exam
25%
Participation in Lab
15%
Project
20%
Final Exam
40%
Total
100%