Information Visualization MOOC (CNS)

Information Visualization MOOC (CNS)
Free Course
Categories
Effort
Certification
Languages
The course if for those interested in data visualization theory and practice. Participants could have some background in: information science, computer programming, databases and data mining, statistics, and or graphic design.
Misc
Information Visualization MOOC (CNS)
The course provides an overview about the state of the art in information visualization, teaching the process of producing effective visualizations that take the needs of users into account.

The course can be taken for three Indiana University credits as part of the Online Data Science Program, as part of the Information and Library Science M.S. program, and as part of the online Data Science M.S. Program offered by the School of Informatics and Computing.

Among other topics, the course covers:

- Data analysis algorithms that enable extraction of patterns and trends

- Major temporal, geospatial, topical, and network visualization techniques

- Discussions of systems that drive research and development.

Just like in past years, students will have the opportunity to collaborate on real-world projects for a variety of clients.

Everyone who registers gains free access to the Sci2 Tool (100+ algorithms and tools), and free PDF access to Part 2 of Katy Börner's Atlas of Knowledge. Additionally, the IVMOOC Flashcard app may be downloaded from the Google Play and Apple iOS stores.




Suggested Readings:
Atlas of Knowledge: Anyone Can Map



Free Course
The course if for those interested in data visualization theory and practice. Participants could have some background in: information science, computer programming, databases and data mining, statistics, and or graphic design.