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.
- 5 stars64.69%
- 4 stars24.69%
- 3 stars6.21%
- 2 stars2.50%
- 1 star1.89%
Really like this course which leads me to Tableau. After the course, I take about 8 hours to learn Tableau and I think my ability of data visualization ballooned.
A fairly interesting course with a good instructor. The course gave me a chance to play with my visualization tools in order to expand my usage rather than being in a rush to complete my tasks.
One of the excellent courses I have ever studied. Professor style of teaching is very soft and simple, point to point and very clear. I have given 100 out 100 marks.
I enjoyed a great deal of this course. However, I felt that the course could be improved by adding in a few programming implementations of visualization. Thank you for teaching this subject!