Data Visualization Academic Course


Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space. - Edward Tufte

The ever increasing computational capacity has enabled us to acquire, process and analyze larger data-sets and information. However, the human memory and attention required to use this data is more limited and has remained relatively constant. Data visualization can enable us to compress data and encode them in ways to aid perceptual, cognitive and emotional capacity required to comprehend, retain and make decisions using this data. This course is designed to help you learn the art and science of data visualization.

Course Objectives

Session Plan

Session #1: Value of Data Visualization

Session Readings and References

Session #2: Theory of Data Visualization

Session Readings and References

Assignment #1: Visualization Critique

Session #3: Types of Data Visualization

Session Readings and References

Session #4: Tools for Data Visualization

Session Readings and References

Session #5: Using Color and Annotation in Data Visualization

Session Readings and References

Assignment #2: Static Visualization

Session #6 - Creating High Density Data Visualization

Session Readings and References

Session #7 - Putting together a Data Dashboard

Session Readings and References

Assignment #3: Dashboard Visualization

Session #8: Crafting Visual Stories with Data

Session Readings and References

Session #9 Animation and Interactivity

Session Readings and References

Assignment #4: Narrative or Interactive Visualization

Session #10 - Presentations and Recap

Assessment

Learning is best achieved through participation and practice. Attending the class sessions is a must to engage in a dialogue and learn from the question & answers and the sharing of experiences that happens. Further, there will be four assignments as part of the course. The first two assignments are individual and the next two assignments can be done in groups of two. The aim of the assignments is to provide you with a testing ground to put in practice all the theory and exemplars you would be learning about data visualization in the class.

Facilitator's Profile

Amit Kapoor is interested in learning and teaching the craft of telling visual stories with data. He is the founder partner at narrativeVIZ Consulting, where he teaches data-science, data-visualisation and data-stories as tools for improving communication, persuasion, and leadership and conducts workshops on these topics for businesses, nonprofits, and academic institutes. He also teaches visualisation as a guest faculty in design context at NID, Bangalore and in management context at IIM Bangalore & IIM Ahmedabad

His background is in strategy consulting in using data-driven stories to drive change across organizations and businesses. He has more than 15 years of management consulting experience, first with AT Kearney in India, then with Booz & Company in Europe and more recently for startups in Bangalore. He did his B.Tech in Mechanical Engineering from IIT, Delhi and PGDM (MBA) from IIM, Ahmedabad. You can find more about him at amitkaps.com and tweet him at @amitkaps.