Data Vis @ TAU
Course page for teaching materials, 22/23 (Semester B)
Data Vis @ TAU
This semester of Data Visualization focused on visual reasoning, chart design, dashboard construction, and applied storytelling with data using Tableau and iterative critique.
Course Outline
This semester covers the full workflow of data visualization: understanding audience and task, choosing the right abstractions and chart forms, building dashboards in Tableau, and critiquing visual choices so that data stories stay both accurate and readable.
| Lecture | Topic | Focus |
|---|---|---|
| 1 | Course framing and intro to data visualization | Why visualization matters, examples, and course structure. |
| 2 | Task and data abstraction | Turning messy analytical questions into formal visual tasks and data types. |
| 3 | Marks, channels, and chart grammar | How visual encodings shape readability and interpretation. |
| 4 | Chart families and design tradeoffs | Selecting chart types and avoiding misleading comparisons. |
| 5 | Data preparation and Tableau workflows | Preparing data and implementing visual ideas in Tableau. |
| 6 | Dashboards, interaction, and storytelling | Combining views into coherent dashboards and data-driven narratives. |
Course Materials
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C1 - Course Intro - Lecture slides
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C2 - Course Summary - Lecture slides
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DV1 - Data Vis Intro - Lecture slides
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DV2.5 - Data Prep - Lecture slides
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DV2 - Data Abstraction - Lecture slides
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DV3 - Task Abstraction - Lecture slides
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DV4 - Marks & Channels - Lecture slides
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DV6 - Chart Types - Lecture slides
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DV7 - Manipulation & Arrangement - Lecture slides
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DV8 - Dashboards - Lecture slides
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DV9 - Data-Driven Storytelling - Lecture slides
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T1 - Intro to Tableau - Lecture slides