John C. Hart
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. 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.
Instructor Details
Courses : 1
Specification: Data Visualization
|
47 reviews for Data Visualization
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 15 hours |
| Year | 2016 |
| Language | Chinese(Simplified) ... |
| Certificate | Yes |
| Quizzes | Yes |
Gonzalo R –
Great
Alain C –
Excellent introduction, well paced and interesting
Shithi M –
There should have been more focus on the plotting tools. The theory portion is informative.
Brian H –
Good overview of data visualization with some helpful rules and mantras on data presentation.
Srijan G –
nice course
KOUSSONDA A K –
Ce cours est plein de connaissances utiles et permet d’acquerir un background important en matiere de visualisation de donnees
Mario J R M –
Excelent general concepts of data mining along with basic methodologies and applications, congratulations…
Teresa E A M –
Very interesting and engaging
Devender B –
Human visual perception and cognition, design and color usage are the new things which I learnt are very useful for applying the skills in real life. I wish there is one module for training on an open source visualization tool
Chen Q –
The fundamental concept part and assignments are good. But I think since it is related to visualization, the course can spend more time on how to make a visual.
MOHD S –
This knowledge is fantastic.
Marco B –
Very useful course for beginners. Pdf of the slides not available Low interaction with other students, mentor answering the forum a bit bizarre
liz a –
it is good.,
Brandi R –
Interesting course for getting started with complex graphing principles. The instructor was easy to follo
Morla M S –
Good course
Yogesh B C A S –
Very good knowledge on visualization. Never though these many indepth concepts are involved in visualizations.
Shuo J –
some assignments are boring. but in general, its good
Hamreet s –
nice
To P H –
Some interesting visualization concepts
Isaac S R –
Helpful course. It provides some useful visualization strategies and a few techniques in an understandable format.
Joyce –
Really interesting. Even I have learned some visualization before, I still learned a lot from this class! Like network visualization.
Ruben D S P –
it is a great introduction to data visualization, very detailed
Raj M –
This course gives you a great overview of approach that you should use when creating visualizations.
Augusto R –
Great course, very good format!
Vishnu N S –
Very Shallow
Vik V –
Good high level course that covers many of the basics. Not a lot of practical (though the course does state that up front). 4 out of 5 only because it felt like the last lecture felt like it was trying to shoehorn in a ton of new concepts without really fleshing them out.
Douglas M M –
The course helps us students understand the basics of Data Visualization. It provides additional materials if you want to study more, but I feel it was necessary to provide examples or tutorials to get started with some of the tools necessary to complete the assignments. Less tech savvy students may have problems with this part.
Vivek V –
Great Learning
narumon t –
I don’t have knowledge of computer or programming but with this great instruction, I am able to challenge myself to learn new thing and finish the course. Thank you very much.
KIM J –
Good stuff to understand Data Visialization
Rob W –
Good course overal. There is quite a mix of high level and very low level detail e.g how humans percieve data in visuals (interesting and useful) but not down in the detail other sections on of planar and non planar graphs and buliding out matrix with signficant detail. The quizzes and assignments are well balanced between the detail and the high level area.
Zaid O –
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.
Alexander S –
You get broad overview about Data Visualization. Therefor the depth of the course isn’t to high. Please provide additional information upfront, which tools are recommended to pass this course. Some peer reviewers do not grade according to the guidelines.
Muhammad T S –
Even though it is from a Computer Science background, the course is designed to engage learners of diverse background. The activities and lectures are well designed and interesting. Great experience and highly recommended!
mouli d –
excellent
Vijayashri B –
Course designed very well, learnt and explored more into data visualization tools/sw’s
Muhammad Z H –
learnt alot
Carlos F C d S e S –
It is the best Dataviz course!
reza p –
so usefull
Ashwin N –
Before learning any BI tools or Visualization library, this course content needs to be known
Rahul K J –
Awesome course for beginners
Russ B –
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.
michael f –
a really great introduction to data visualization that is the perfect balance between providing information for data visualization and freedom to use your preferred visualization tools or learn new ones.
Qinyi L –
Peer review is not effective at all
Lahcene O M –
Very nice programme advanced developer Lahcene
Marie C –
When saying that we do not need to be able to program, I feel we should get additionnal ressources, especially for assignment two.. as it was very hard to parse the data provided due to the large number. Maybe it would then be beneficial to provide smaller set of data for the network graph.
Qinjian Z –
The course is very helpful for me to learn the concepts and theories behind the data visualization, combining with 2 interesting and relevant assignments to enchance the learning experience. One thing I found difficult was the instructions in Assignment 2 for non programmer to perform data visualization, the software might not be available due to the reform of the website, I wish the professor could update the information.