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.
By Dario A•
The instructor's poor English makes it difficult to follow the lectures and it takes twice the time to study the transcript, which is also wrong at times. The homework was a rehash of the same basic teaching with no practical application. What good is to know the coefficient or the slope of a regression when no prediction exercises are done to find a data point that is not close to the existing data points?
XLMiner does not work online and for Mac users this was very cumbersome.
By Tony H•
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.
By teresa z•
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 Fabio F•
content is fine. but light on BUSINESS applications. Professor's english very hard to follow.
By Mithun M•
The instructor is really fast and he needs to slow down with better illustration.
By Wallace O•
Terms weren't very clear, and many videos had not txt file.
By Kevin S•
Hard to follow seamlessly with poor pronunciation.
By Alexandros N•
It is hard to follow this tutor. You have always to reed the subtitles to understand the course.
I took the Advanced Business Analytics Specialization as a full time student. I finished the first four courses in more or less 3 weeks. In the last course needed to take the Specialization Certificate, the Advanced Business Analytics Capstone, the assignments of the course during the 2nd-3rd-4rth week were locked until 20 December - 5 January. That means that I had to wait more than one month, and pay 2 more subscriptions to Coursera!!! In the forum of the class there are more than 20 moderators, none of them has even one reply in anything. I made a thread, nonone replied to me. I contacted the customer service, they told me that they are sorry and they cannot change it.
This is not a policy of an educational institute, this is an attitude that wants to take only your money. If you want your certificate, come back after two months AND KEEP PAYING!! I canceled my subscription, I do not want the certificate, I want to cooperate with organization that respect my effort, my time, my money, to respect me.
By Alan D P•
This was quite a theoretical course to a certain extent - not as practical as the other courses in the Specialization. I don't think that this is material that I would envision me using normally in my work, but I can see where it might be useful.
The lecturer was hard to understand a lot of the time. He went past some important points at light speed and it was very hard to pick up certain concepts. Hard to take it in at times.
Repeating what others have said - I really didn't like having to use a specific software package rather than a generic package. XLminer can be obtained on a 14 day trial, however the course is intended to be 4 weeks long, so either do the course faster (like I did) or pay for a package that you will most likely never use again. The course is, to a large extent, a tutorial on XLminer and it's fair to say that most people that do this course will never use it again.
This course could do with a re-vamp.
By Jessica B•
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 MK B•
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 Deleted A•
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•
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 Akshat J•
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•
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.
By James M•
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 Graham C•
Very poor course and delivery of subject matter was terrible - Do Not Take This Course!
By Parv A•
Use of some other software can make this course better. xlminer has got a lot of bugs
By Neeraj V•
Cannot understand the diction..
By Lei Z•
poor quiz design
By Graciano P•
This class provides a solid foundation on predictive modeling and analytics. It goes from basic models like linear regression to more complex models including neural networks and ensemble models. The material is covered using a tool named Analytic Solver which provides a different approach to the subject by focusing on the high level aspects of the models as opposed to doing the models in Python which would require the ability of the user to code and knowing how to use the many libraries out there for data science and machine learning. This allows the learner to cover a lot of techniques in relatively short period of time while at the same time providing the learner with a broad vision and understanding of the field of study.
By Minh T N•
Good course for introductory knowledge about predictive modeling (linear regression, classification, trees, neural network, etc). The accent of the professor makes it a bit hard to follow, nevertheless the content and follow-up exercises as well as quiz assignments and case studies are of superb quality. Highly recommend for those interested in business predictive methods.
By Carolinne O R M•
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.
By Carlos J G A•
Nice course, maybe you can update the instructions, the program has changed a little bit, is not difficult to change some parameters but it would be better with this video updates in XLminer activities. Thanks U Colorado Boulder and professor Dan Zhang
By Shalmali C•
The course was really good and informative. A lot more ways to analysing data than one would normally come across and a good explanation of the various concept.
One suggestion would be sorting out the XLminer subscription of excel versions above 2016.