Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.
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A fairly interesting course with a good instructor. The course gave me a chance to play with my visualization tools in order to expand my usage rather than being in a rush to complete my tasks.
Good course, very well structured and with interesting assignments. Some (especially first) lessons are more of a general culture but most are very helpful and allow to learn a lot of things.
I found the class to be very informative. The assignments on creating charts and graphs for large data sets were practical and helped me understand the concepts taught in the course.
Thank you for this amazing course, for.me the most enjoyable and amazing tool for this course is how encouraging me to find real life data repository and learn how to visualize it.
One of the excellent courses I have ever studied. Professor style of teaching is very soft and simple, point to point and very clear. I have given 100 out 100 marks.
This very interesting course have sharpened my ability to read and interpret graphs in general and more importantly to pay more attention to every little details.
Excellent opportunity to understand Data Visualization. I loved the home work given in the course, very unique and creative. Lot's of scope to cultivate an idea.
Good conceptual introduction, plus some hands on assignments that will increase the chances that you continue to create visualizations of the data you work with.
This course provides me a good understanding of how to visualize data, how to display data, how to perceive data. Best knowledge for data visualization.
This is a great course. I highly recommend this course if you are looking to better visualize your data for an audience, and how people perceive graphs.
It is an excellent course under data mining specialization. Going for it will be definitely a great investment in terms of education.\n\nTeddy Muchape.
It provides me with the base to transmit to the user the data analysis made in a visual way easy for them to understand and take decision.
Really interesting. Even I have learned some visualization before, I still learned a lot from this class! Like network visualization.
The course looks at all aspects of Data visualization and how to make a visualization that is both informative and easy to interpret
Good course. The section on graphs could use more detail on how the layout algorithms affect usability of data visualizations.
Very enjoyable class. I especially enjoyed interactions with other classmates. And I learned a lot about data visualization!
It should have more assignment and handson, It should also teach how to use any visualization tool for doing assignment.
Carefully designed to provide an overview of data visualization concepts which are important for any data scientist.
Helpful course. It provides some useful visualization strategies and a few techniques in an understandable format.
Very good knowledge on visualization. Never though these many indepth concepts are involved in visualizations.
イリノイ大学アーバナ・シャンペーン校（University of Illinois at Urbana-Champaign）
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.