Learner Reviews & Feedback for Predictive Modeling and Analytics by University of Colorado Boulder
About the Course
Top reviews
Good course to give a basic understanding of predictive modelling and analytics. Good assignments and opportunity to review peer submissions help reinforce the learnings.
Excelent! Even for someone that doesnt work usually with statistic models, this course give the fundamentals insights so that we can go deeper by ourself.
76 - 100 of 177 Reviews for Predictive Modeling and Analytics
By Adekunle I
•this is the best course anyone can take
By Ivan Z
•Dan Zhang is a very good teacher.
By ANKIT S
•Detailed and usefull
By Murodkhuja M
•excellent course
By Avinash T
•Very nice course
By Tanay C
•its really good
By MOH M Y S
•Great Course !
By PRALAY P
•Great Course !
By sandhya k
•Well explained
By Carlos A U M
•Great course!
By Sergio A M O
•Great course
By jorge p
•Excelenete
By Olanrewaju B
•its hard
By Ameerah R A S
•awsome
By Emina K
•The course is pretty good. Although it was hard to keep up with the teacher and his English, I managed to write notes using the text under the video. Later, reading the notes was okay since everything had more sense. I had to do some extra Google search since the explanations were not enough for me.
But the assignments and tests with the sample databases were the best. They really made me think and gave me a real foundation in my knowledge.
I am sad that XL Miner (Solver) is only 15 days and wished that the teacher would put a replacement tool we could use instead if the free subscription ends.
Much work should be done to improve.
By Germán A R R
•Overall is a practical and interesting course. Sometimes the quizes or assignments are not direct related to the lecture, however you can get to the point thinking a little. Will be important to update the XL Miner explanations because the software is currently more up to date than was shown. Additionally, even we get lot of practical exercises where you can identify robustness and types of models, for me is not still clear how to get a predictive model for my daily use. Expect to cover that on further lectures.
By Eric Z
•I really enjoyed this course, but I did struggle more than I should have with the software tools. In many cases, my version of the tool (the latest) did not match the instructor's version, and I worked to translate my version to his, and that's not a good use of my time. That said, the material was interesting, and the professor did a great job presenting it. I would recommend the course, but I would recommend that you learn to get the results not just in XL Miner, but in R or some other software, as well
By Antonio J A G
•I loved the course. The explanations were very accurate and easy to understand. But, I consider that using XLMiner is not the best software approach. I understand that R or Python may imply some problem to people with no programming skills, but it's easier to reproduce results. XLMiner has different versions (and the tutorials are not aligned with latest versions) and is also dependant of the Office version. Thus, some answers must be given in a flip-of-a-coin approach.
By Colin P
•Very interesting course that covers a lot, which is good in that it gives exposure to different mining techniques, but bad in that I feel very far from mastering the techniques. Each mining technique could be its own course. Course could do a better job of explaining how to interpret the model outputs.
By Haiying Z
•The knowledge and information are very useful. However, the choice of software is poor. It took a few times (days) to install/uninstall to make it finally worked. Once it was running, it was unstable, malfunctioning unpredictably. A better software should be use for this class in future.
By Jaishish
•Don't mind the negative reviews. Most issues are years old and have been fixed. Didn't face a single issue. The course Does require an additional tool to complete assignment which is only free for 15 days. Also the accent of the professor is hard to understand.
By Shafeeq S
•Very good course for understanding Regression, classification. Other advance predictive models like trees, random forest, neural networks are covered fast. Could have been little more lengthy sessions.
instructor is very fast in explaining concepts.
By PRATIK J P
•The instructor's tone was difficult to Interpret. It was not fluent and pronunciations were uneasy. Overall content was excellent, though there must have been examples after terms explanation rather than one complete video at end
By La V M
•The course is a great course.
The only difficulity I had was in the last assessment where we had to use XLMiner. I was not able to use it properly as I had difficulity loading it on my computer because of the Windows version.
By Yashasvi
•it is really a good course which helps me to understand the basic knowledge of data mining in which I learned about logistic and linear regression and also about boosting, bagging, and random forest.
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