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

Created by: John C. Hart

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Overall Score : 86 / 100

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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.

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Instructor Details

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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."

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Reviews

4.3

172 total reviews

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By Deleted A on 25-Sep-19

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

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

Thank Coursera very much for providing such a good course. Also thank for the teacher from Illinois.

Very informative and well structured!

I really enjoyed this course. It gives very insights on useful knowledge, and opens the door to dig deeper into more specific knowledge, but is also possible to understand the concepts and succeed on the assignments without deep previous knowledge on programming or linear algebra.

A very enjoyable course.

Well discussed and well organized! Awesome course, it opens up a lot of possibilities in presentation of data!

This course give me framework of thinking about how to create proper visualization. Very recommended for you who want to understand the visualization thinking, but does not has so much time to read related books.

By Muhammad B S on 4-Aug-17

this is my first course from coursera and its very experance after taken this course i an very bringnner this course help me lot to take further path towords the data science and data mining thanks sir

By Doreen B on 29-Jul-17

amazing

By Agastya on 17-Jul-18

I got a new type of understanding and importance of Data visualization

By gkkclouds on 29-Mar-19

nice