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Business Analytics & Data Mining Modeling using R – II

Enrolled: 27 students
Lectures: 5
Level: Intermediate

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Analytics and data mining modeling using R, this is part 2 of the previous course, so it is highly
recommended that you go through the previous course video lectures, and there you can get,
you can finalize yourself with the basic concepts that are required for this course, you’ll also get
the supplementary lectures on R and basic statistics, so it is highly recommended that you go
through the previous course that is called business analytics and data mining modeling using R,
this is the, this particular course is part 2 of the previous course, and we are now right now in
the very first lecture of this.
So 2 particular modules that we want to cover in this part, the first one is unsupervised learning
methods, and the second one is time series forecasting, so the previous course we were able to
cover the basic data mining part and then supervise learning methods.

Unit 1

1
BA & DMM : Lec 01 : Association Rules – Part 1
27:28
2
BA & DMM : Lec 02 : Association Rules – Part 2
35:36
3
BA & DMM : Lec 03 : Association Rules – Part 3
30:51
4
BA & DMM : Lec 04 : Association Rules – Part 4
34:41
5
BA & DMM : Lec 05 : Cluster Analysis – Part 1
33:48

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Business Analytics & Data Mining Modeling using R – II
Price:
Free