Pattern Discovery in Data Mining

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7/10 stars
based on  5 reviews
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Cost FREE
Start Date TBA

Course Details

Cost

FREE

Upcoming Schedule

  • TBA

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4723 reviews

Course Description

Learn the basic concepts of data mining and dive deep into pattern discovery methods and their applications.
Reviews 7/10 stars
5 Reviews for Pattern Discovery in Data Mining

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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Greg Hamel profile image
Greg Hamel profile image
3/10 starsCompleted
  • 116 reviews
  • 107 completed
4 years, 8 months ago
Pattern discovery in data mining is the first course in a new 5-part data mining specialization offered by the University of Illinois at Urbana- Champaign through Coursera. Keeping with the trend of other specialization courses, pattern discovery in data mining spans 4 weeks and will likely be offered again each month or two after the first offering. The course covers a range of methods for finding different types of patterns in data, such as association rules and patterns in graphs. Grading is based exclusively on 4 weekly quizzes. I was excited to see the new data mining specialization come up on Coursera to kick off 2015, but unfortunately, pattern discovery in data mining is a dull, poorly executed information dump. Besides an interesting topic, there’s not much going for this course. In the lectures, the professor reads information off dense slides and his delivery is more confusing than instructive. The slides, video and sound ... Pattern discovery in data mining is the first course in a new 5-part data mining specialization offered by the University of Illinois at Urbana- Champaign through Coursera. Keeping with the trend of other specialization courses, pattern discovery in data mining spans 4 weeks and will likely be offered again each month or two after the first offering. The course covers a range of methods for finding different types of patterns in data, such as association rules and patterns in graphs. Grading is based exclusively on 4 weekly quizzes. I was excited to see the new data mining specialization come up on Coursera to kick off 2015, but unfortunately, pattern discovery in data mining is a dull, poorly executed information dump. Besides an interesting topic, there’s not much going for this course. In the lectures, the professor reads information off dense slides and his delivery is more confusing than instructive. The slides, video and sound are of decent quality, but the explanations are not clear and while I normally don't have an issue with foreign accents, the professor's English made things harder to understand. To make things worse, there are few instructive in lecture quizzes and no activities or programming assignments. A course about data mining should have programming assignments or activities that let students interact with the concepts to reinforce learning. Pattern discovery in data mining is a disappointing start to the data mining specialization, that suffers from poor instruction quality and lack of illustrative assignments. Taking this course is like a data mining problem in and of itself: you have to spend a lot of time deciphering the lectures to uncover useful information.
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Kristina Šekrst profile image
Kristina Šekrst profile image
6/10 starsCompleted
  • 102 reviews
  • 102 completed
3 years, 2 months ago
I liked the way I was able to learn more about the newest trends in pattern discovery, but, as with other courses, there was too much theory, and too little practice. However, it was a fun experience, but I hope in the second iteration that the ratio of the programming assignments and the theoretical descriptions of various algorithms and papers will be equal.
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Richard Taylor profile image
Richard Taylor profile image
6/10 starsCompleted
  • 29 reviews
  • 28 completed
4 years, 4 months ago
This course has some nice content but the presentation is very boring. The instructor does take a good time and effort to provide examples of the principal topics and algorithms. By taking this course you will learn several interesting things in a good degree of depth. A good course considering it takes just 4 weeks.
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Miguel Asencio profile image
Miguel Asencio profile image
10/10 starsTaking Now
  • 1 review
  • 0 completed
4 years, 8 months ago
Just awesome! The course is mainly theorical, and have very dense parts, but what I've learned is just magnific, highly recomended. (The only thing that could be better was that could be some programming assignements helps a lot to improve the learning skills)
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Jeff Winchell profile image
Jeff Winchell profile image
8/10 starsTaking Now
  • 91 reviews
  • 66 completed
4 years, 8 months ago
As a creator of some of the techniques explained in this course, the instructor clearly has deep knowledge about the material he presents. However, he is not a teaching specialist, so learning the material is somewhat of a challenge (somewhat more so for those unfamiliar with east Asian accented English.) For those having problems learning solely by the videos provided, I recommend reading the free chapters from his book, which the course is based on. It is good that the instructor has setup forum subforums, such that there is a subforum for each video in the class. I wish there was programming in the class as I find that often helps me to better learn the material. The material is somewhat abstract so you have to concentrate more in this MOOC.
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.