Predictive Modeling and Analytics

Provides a very good foundation over predictive modelling.

Very rich and concise content, instructor very intelligent and objective, short and digestible videos. My only suggestion is to improve the quality of the neural network content, in my opinion, the very one too shallow compared with the rest of the excellent content.

Professor is a little tough to understand, so I had to read the transcript during some of the videos. However, once I got the XLMiner issues resolved, it continued to be a great class and experience.

Poor communication and engagement skills. The syllabus has so much potential to be interesting but the teacher wasn't engaging and left most of the important details unexplained.

The course is very stimulating, unfortunately (at least for a non native english speaker) the understanding of the professor's words is tough

A challenging course, the most challenging I've had on Coursera to-date. The quiz questions really make certain that you have listened to and absorbed the course material. You will get full marks if you follow the instructions given in the videos regarding how to use the software, but you still need to do independent thought and analysis. Overall, I liked the course.The only thing that keeps me from giving this five stars is the software package used for the course. I am on a Mac, and the software works best with Windows & excel. There is a web interface and Office 365 Extension for MacOs, but it is clunky.Also, software costs $25 for 140 day license, and I am not certain how I feel about that. It would be better I think to design the course around R/Python, or to choose a software package that is free without time limitation (restricted functionality is fine, but work the course to operate within the free tier). That being said, I don't know how to do that either, and I am sure the instructors would have chosen that route if it was easier to teach that way on a MOOC.

Got to many techniques like boosting, bagging, Neural networks, regression tress etc.. Useful and informative course

It's a terrible course. honestly. The Professor's English is very often undecipherable, assignments have incorrect options, and there's no help from anybody in charge. Would give 0 stars if possible.

The instructor runs very fast. He is in a hurry to catch his train. Does not explain the topics properly.

The content is useful. The lecturer is very good at organizing the course structure. However, he is a bad teacher. He reads subtitles instead of "talking". I hope he could elaborate key points and relate concepts to real life examples.

Even though a basic math background is needed, this course is extremely simplified for understanding and being really useful introduction to Predictive modeling.

The tutor organised the course with clear points and highlights questions during videos. The only confusion is about web version xlminer tool.