Data Visualization Design
The principles behind an effective chart, and the craft of building one that a reader can actually use.
§ 1Calendar
- Quiz 1—
- Quiz 2—
- End-term examination—
§ 2Previous Year Questions
No papers uploaded yet.
§ 3Resources
-
Drive folder
drive.google.comIITM login required
Syllabus
The official course syllabus, transcribed from the IITM BS Data Science & Applications course booklet.
§ 1Course Description
This course provides the foundations for understanding and advancing data visualisation, covering key techniques and theory such as data models, graphical perception, and visual encoding and interaction. It also develops skills in data storytelling using charts, maps, and diagrams, and offers practical experience in building and evaluating visualisations.
In-course project: The in-course project is integrated into the course and not offered separately. Students work in teams to design and evaluate data visualisations, applying concepts such as data modeling, graphical perception, and visual encoding to create effective visual stories using charts, maps, and diagrams.
Lectures-Tutorials-Practicals-Credits: 4-0-0-4
§ 2Faculty
- Prof. Venkat R, Industrial Design Centre, IIT Bombay
§ 3Week-by-week
Week 1: Introduction to data visualisation (foundations and concepts).
Week 2: Visualization typology.
Week 3: Geospatial data visualization and mapping techniques.
Week 4: Data fundamentals for visualisation.
Week 5: Visualisation design.
Week 6: Data analysis and insight generation.
Week 7: Visual encoding of data.
Week 8: Design principles and heuristics for effective visualization.
Week 9: Data Stories
Week 10: Project presentations, Wrap up and course summary