Skip to content
Write a review
CourseraData ScienceFree courseCertificate

Data Visualization

The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can appl

4.3
172 reviews

Created by: John C. Hart

icon
Quality Score

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 86 / 100

icon
Course Description

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.
product length iconTime: 15h

icon
Instructor Details

placeholder

John C. Hart is a Professor of Computer Science and an Associate Dean of the Graduate College at the University of Illinois at Urbana-Champaign. He received his Ph.D. in Electrical Engineering and Computer Science for his work at the Electronic Visualization Lab at the University of Illinois at Chicago in 1991. He has taught and researched computer graphics and data visualization for over 25 years. His research has been supported by Adobe, DARPA, Intel, Microsoft, NSF, Nokia and NVIDIA, and has resulted in over 125 papers, patents and videos. Prof. Hart is a coauthor of the book "Real-Time Shading," a contributing author of "Modeling and Texturing, a Procedural Approach," and is under contract with Pearson for a new introductory computer graphics textbook. Prof. Hart has taught short courses on graphics and visualization at the SIGGRAPH Annual Conference, for Pratt & Whitney and for the Adler Planetarium in Chicago. He is a past Editor-in-Chief for ACM Transactions on Graphics and currently the graphics area editor for ACM Books. He is also a past member of the SIGGRAPH Executive Committee and an Executive Producer of the documentary "The Story of Computer Graphics."

icon
Reviews

4.3

172 reviews in total

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Sudharaka P on 21-Oct-19

Awesome course for beginners

By Оболенский on 7-Oct-19

Before learning any BI tools or Visualization library, this course content needs to be known

By Maruf H on 3-Oct-19

so usefull

By Robert M on 2-Oct-19

It is the best Dataviz course!

By Eduardo C C on 28-Sep-19

Very nice programme advanced developerLahcene

By Sai on 27-Sep-19

learnt alot

By Deleted A on 25-Sep-19

Course designed very well, learnt and explored more into data visualization tools/sw's

By Jacky H on 20-Sep-19

excellent

By Milad V on 14-Sep-19

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!

By 陈可 on 13-Sep-19

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.

By Anthony A on 12-Aug-19

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.

By Amit K G on 6-Aug-19

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.

Showing 12 of 172 reviews

Data Visualization
Visit course on Coursera Write a review
  • Video Duration: icon 15h
  • Price: Free
  • Provider: icon Coursera
  • University: icon University of Illinois at Urbana-Champaign
  • Language: icon English
  • Certificate: icon Yes

Coursera Coupon Price Tracker

Udemy price history

For any issues or feature requests please email CourseDuck's Co-Founder at mkuhlman12@gmail.com