May 30, 2019
Even though a basic math background is needed, this course is extremely simplified for understanding and being really useful introduction to Predictive modeling.
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.
por Kevin S•
May 24, 2018
Hard to follow seamlessly with poor pronunciation.
por 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.
por Wallace O•
Jul 11, 2017
Terms weren't very clear, and many videos had not txt file.
por Tony H•
Feb 28, 2018
This course doesn't do a good job of helping you learn the "why" behind the concepts. I felt like a lot of difficult concepts were thrown at me with insufficient context. It's been tough trying to internalize meaningful mental models through the course content.
por 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.
por Graham C•
Mar 21, 2019
Very poor course and delivery of subject matter was terrible - Do Not Take This Course!
por 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.
por 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."
por 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
por 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.
por 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.
por Lei Z•
Dec 30, 2016
poor quiz design
por Neeraj V•
Nov 21, 2016
Cannot understand the diction..
por 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.
por Parv A•
May 17, 2019
Use of some other software can make this course better. xlminer has got a lot of bugs
por 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.