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  • Provider Coursera
  • $ Cost Free Online Course (Audit)
  • Session In progress
  • Language English
  • Certificate Paid Certificate Available
  • Effort 4-6 hours a week
  • Start Date
  • Duration 4 weeks long

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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 data-driven phrase mining 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.

Taught by

Jiawei Han

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Reviews for Coursera's Pattern Discovery in Data Mining
2.1 Based on 20 reviews

  • 5 star 5%
  • 4 stars 10%
  • 3 stars 15%
  • 2 stars 30%
  • 1 stars 40%

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  • 1
Bence K
2.0 3 years ago
by Bence is taking this course right now.
I have finished watching the first week's worth of lectures and so far this course is a big disappointment.

There are very few notes on actual implementation of the methods that are only mentioned briefly.

The complete lack of programming assignments is also a big no-no for me in such a course.

If that wasn't enough you have to pay $40 for a certificate as the course offers no unverified certificates, so if you want any paper for finishing you have to dish out $40. Which I think is too much, considering there were about 1.5 hours worth of lectures for the first week.

This is my 3rd course from Illinois and the other 2 were superb (Heterogeneous Parallel Programming, Introduction to Macroeconomics) but this one feels very rough and unfinished. They should at least give the option of unverified certificates.
9 people found
this review helpful
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Anonymous
2.0 3 years ago
Anonymous is taking this course right now.
Bence is pretty on point with his review. IMO, this seems like they are just trying to milk some cash out of this whole platform/system.

By having no unverified certificates, there will be people willing to pay $40 for the certificate. Also, during the first week's worth of lectures, it seems that Jiawei Han is encouraging you to buy his books.

This is a Coursera class for personal growth/development. I don't see any reason why anyone should buy a college level textbook unless you are truly interested at the end of it and want to carry on further with this topic.

Moving on to the actual content, the lectures aren't too terrible, but I feel that I could have read a wikipedia article and obtained as much knowledge from it.

Maybe it will get better, but at this point, not impressed.
6 people found
this review helpful
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Gregory S
2.0 3 years ago
by Gregory audited this course and found the course difficulty to be medium.
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 speciali…
4 people found
this review helpful
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Anonymous
1.0 3 years ago
Anonymous is taking this course right now.
This course is very disappointing due to the poor quality of the video lectures as well as the frequent errors present in the example datasets and even the quizzes. After the second week I stopped watching the videos completely because they were not worth the time and instead only read the textbook.

This course has a lot of breadth but very little depth. The topics are rushed through and explained very briefly with no explanation as to why certain methods are useful or how to apply them to actual data. The course length is also too short for the amount of information that is attempted to be conveyed, 6 weeks would be more appropriate.
4 people found
this review helpful
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Anonymous
2.0 3 years ago
Anonymous is taking this course right now.
The course content is definitely not the type of material to be learned from watching a video. The lecturer simply gives the theory with very basic examples and only brushes over the concepts. Not the greatest method of teaching.

If there were programming assignments, the class could be much more useful for people who are looking to learn about the practical applications of the topic. I am taking the class simply because I'm a data science specialist and want the data mining specialization certificate. I am already familiar with the topic and I find the lecture lacking.
1 person found
this review helpful
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Anonymous
1.0 3 years ago
Anonymous completed this course.
Ditto on everything said about the lack of programming assignments and applicability. Took the class and got 100% on every quiz. If you asked me to apply any of it I'd be in the deep end of the pool. Very disappointed because the professor is extremely accomplished, UI has a fantastic rep, and the students the are smart, active participants. But in my estimation this class really detracts from what Coursera is/should be trying to accomplish from both an educational and certification perspective.
1 person found
this review helpful
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Apoorv V
2.0 3 years ago
by Apoorv partially completed this course.
I have finished taking 3 week lectures. I will have to say that the course did not meet my expectations.

- Lacks Practical Implementation aspects

- Lacks Clarity in many places.



The course will make you informed about the options you have to deal with various types of problems. You will have to go and read papers to get the details.

For someone who is looking for something more practical I would recommend Mining Massive Datasets Course.
1 person found
this review helpful
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Anonymous
1.0 3 years ago
Anonymous is taking this course right now.
Horrible Course with no practical component. A lot of theory with not even one practical example. Please avoid! This course is not worth it and you can get all the knowledge from wikipedia
5 people found
this review helpful
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Edwin J
3.0 3 years ago
by Edwin partially completed this course.
Unfortunately, the course has not kept up with my expectations. There are no practical assignments and no details on implementation of the various methods. I really hope the next course from this specialization will be more engaging.
2 people found
this review helpful
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Anonymous
3.0 3 years ago
Anonymous completed this course.
I too think it lacked a practical, programming part. Week 1 and 2 were interesting but by the last week it seemed to be more focused on mentioning as many algorithms as fast as possible. This is a bit of a wasted opportunity
2 people found
this review helpful
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Pandis C
3.0 3 years ago
Pandis completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
Weeks 1 and 2 where good. Unfortunately weeks 3 and 4 where not. The instructor tried to mention as many algorithms as he could without describing them efficiently. Also the instructor should try to improove his english because many of us are international students and I personaly found it difficult to fully understand him sometimes.

Finally the instructor claimed that his lectures are enought to fully understand the principles he described and further reading is optional. This was not true. The instructor should make longer lectures if he want to keep the same teaching material, or reduce the teaching material and keep the same lenght of lectures.

In conclusion the course is very interesting but can be (and should be) improved.
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Anonymous
1.0 3 years ago
Anonymous dropped this course.
Quite boring. I agree that subject is dry itself but instructor needs to be a great communicator (IMO). Moving on to other courses at Coursera
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Woof W
1.0 3 years ago
by Woof audited this course.
No real example of data or programming application. Only concepts flowing around in the course lecture. Not useful at all.
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Deepak J
1.0 3 years ago
by Deepak completed this course and found the course difficulty to be medium.
1 person found
this review helpful
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Anonymous
4.0 3 years ago
Anonymous is taking this course right now.
I'm enjoying learning the different types of situations where we can mine patterns - transactions, sequences, graphs. The instructor's not spoon-feeding anyone, but the quizzes aren't bad if you pay attention and read the forums. There's been some technical issue with quiz answers and stuff, but the Coursera team has always fixed them well before the due dates.
2 people found
this review helpful
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Peter P
5.0 3 years ago
by Peter partially completed this course and found the course difficulty to be hard.
This is a very good theoretical and algorithmic course on pattern discovery. It gives you a pretty good idea what is going on the pattern discovery field with comprehensive lists of current research papers. I feel learned a lot from this short 4 weeks course. Yes, this is no programming assignment. The theory and algorithms are already complicate enough. It's not practical or useful to add programming into this short course.
0 person found
this review helpful
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Mark B
2.0 2 years ago
by Mark completed this course.
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Anonymous
1.0 3 years ago
Anonymous is taking this course right now.
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Alex I
1.0 a year ago
Alex audited this course.
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Colin K
4.0 2 years ago
by Colin completed this course.
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