Nov 20, 2017
this course teach you about the technical of using tools for predictive modeling. very useful for you who want to learn the fundamental of analytics.
Aug 12, 2019
Got to many techniques like boosting, bagging, Neural networks, regression tress etc.. Useful and informative course
by Wallace O•
Jul 11, 2017
Terms weren't very clear, and many videos had not txt file.
by Naveed T•
Nov 11, 2016
While the content (common predictive regression and classification algorithms and tools like XLMiner) was useful, little to no support was provided in the forums. The assignments in Week 3 and Week 4 in particular were either vague or had errors that nobody double checked and course-takers had to use trial and error approach to get answers right.
by Jordan H•
Aug 31, 2018
The professor does not explain the concepts well enough, to be quite honest. I have simply used his videos as a way to Wikipedia the concepts to actually understand what he is trying to explain. Also, I think it would be beneficial to provide information prior to signing up for the course (or Advanced BA path) stating that there is additional content to purchase.
by teresa z•
Jun 03, 2019
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.
by Graham C•
Mar 21, 2019
Very poor course and delivery of subject matter was terrible - Do Not Take This Course!
by James M•
Dec 22, 2016
Test questions for week 3 are incorrect and do not match video / reading. Had to go to YouTube to figure out most of it.
by Neeraj V•
Nov 21, 2016
Cannot understand the diction..
by Lei Z•
Dec 30, 2016
poor quiz design
by Jessica B•
Nov 02, 2016
This course starts very simply with data clean up (almost too simply!), but then goes DEEP into the weeds of regression and fails to explain how to apply these complex concepts to any real world application. For example, if I build a regression model, how might I use it in my analytics role at work and explain the results to my stakeholders? How do i interpret the results of the regression for making informed business decisions? How do I predict an outcome with a Tree or Neural Network? I found the instructor very hard to follow/understand (thank goodness for the written transcripts). He's clearly extremely intelligent, but fails to relate these concepts to the student in order for the student to take away anything more than "These complex concepts and tools exist."
by Deleted A•
Sep 29, 2017
poor instructor (too strong of an accent, no skills in talking with a teleprompter or generally putting life into what he says), material could be strongly improved, problems with assignments but no help in the forums
by Gökhan K•
Apr 02, 2017
With all due respect to the lecturer (its obvious that he is intelligent and an expert on the subject), I found this lesson not easy to participate because of inordinate learning curve and fast accent.
by MK B•
Feb 27, 2017
This course is not well moderated, the material is confusing, and the quizzes were not tested before uploading them onto Coursera. This specialization is definitely not on par with other specializations I have done.
BLUF: There are better uses for your money and time.
by Parv A•
May 17, 2019
Use of some other software can make this course better. xlminer has got a lot of bugs
by Akshat J•
Aug 01, 2019
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.
by Karan G•
Aug 20, 2019
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.