学生对 伊利诺伊大学香槟分校 提供的 Predictive Analytics and Data Mining 的评价和反馈

This is a worst class you can take. If you have no prior background, avoid taking this class.

With a better organization of the materials and order of contents, this course would be very valuable course.

Great subject and professor does a great job explaining concepts, but challenging to execute the assignments with limited execution instruction and errors in provided scripts. With some corrections and improvements, this could be a great course.

One of the worse class I have taken so far. The instructor did not explain the material very well and lots of confusion were there. The response from the staff was really hard.

Professor Seshadri excels at communicating complex concepts and his presentation style works well in remote channels. The coursework is relevant to anyone responsible for performing or managing individuals responsible for data analytics.

Very informative course. Found explanation to many analytics subjects. Professor is very experienced. More video tutorials on Rattle would have been great. Plus some Peer graded assignment instructions need more clarifications.

Prof. Seshadri was amazing. Learned how to model and analyze data for various use cases. Excellent course for people looking for a good understanding of data modeling and data mining.

not bad, but I think if you could provide us much more materials about the R scripts about the useful program packages.

Professor Seshadri is a master of the Data Analytics art! Great teacher. Learned a lot and loved the course.

I have learned a lot by this course and Instructor, Thanks Coursera

this class was intense but i have learned a lot, glad taking it

Good foundation course to understand Data Aanlytisc

Tough Course but very useful knowledge

Professor Sridhar Seshadri is great!

It was difficult, but very helpful.

heavily loaded but well worth it!

nice and clear on each topic

exceptional and nice course

good course

great

good

Good overview of some selected methods. Not all algorithms that are relevant for the subject are covered, there is not enough time for that. However, more detailed material is provided. The videos are sometimes inconsistent. Obviously parts of a larger course have been taken out to put this short one together. So there are soemtimes references to content that was supposedly already covered, but actually didn't happen. But this does not limit the learning possibilities any further. It is a pity that there are soemtimes no sample solutions for exercises. The answer keys for the assignments are sometimes very short. Detailed explanations and justifications would be desirable here. All in all, the course is ok to get an insight into the subject matter in quite a short time, but it ca be improved. If you are looking for an in-depth discussion of the topic, you are in the wrong place.

While this course offers a great opportunity to learn some great concepts and Prof. Seshadri really explains the concpts wonderfully and with great detail, I felt, it also leaves out some key topics that could be beneficial to understand the concepts better. For example, the key concepts of model tuning should have been elaborated further or some of the other practical uses cases of of models in business decision making could have been included. Note. The intent of this course is not to teach machine learning or data science but how to apply these principles to a business problem. However, once some of these gaps are closed this is going to be definitely a 5-star course!

Good course except for response times on discussions. I don't think anyone other than students ever checks them, which is not good - one of the reasons I had to transfer to another class was because of the lack of response on the discussion forums. Other than that, this was a good class though.

I have successfully completed the course and it has helped me to upgrade my skills. I am sure that this is going to help me to carry out my future carrier in Data Analytics efficiently.