Good course to give a basic understanding of predictive modelling and analytics. Good assignments and opportunity to review peer submissions help reinforce the learnings.
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.
By Nagabhairu v k•
I really want to mention two thing about this course. The first thing is the content (Algorithms) which are talked in this course are Really usefull and important mostly used algorithms to learn clearly.and another thing is the instruction was so bad in explaining the subject .He is so fast in explaing concepts and math beahind it .Even not only he is fast his native english pronosation is so bad and its really tough to understand.
By Emiljo J•
I found the course content to be good and explanations to be concise but sometimes rushed through. The choice of software to use, however well aimed as it did not require manual programming, it proved a more frustrating experience than actually writing it in Python. I also hardly believe that I would be using Analytic Solver in the future.
A good course overall; however, I expected some further reading recommendations by the lecturer to help develop a deeper understanding of predictive models.
The last peer assignment was boring and too simple relative to the course knowledge level. Plus, one of the tasks was replicated from another one that I previously did.
By Matthew G•
Covers a lot of essential topics around analytics and predictive modeling. However, the delivery in the lectures lacks enthusiasm and seems very scripted. Also, the final project, despite being primarily a predictive analytics courses is simple a re-hash of the Week 1 project, and is not cumulative of all topics covered.
By Keith H•
Many of the concepts felt "glossed over" as the subject matter was rich but it was hard to get a complete understanding of it in the videos. I found myself having to do a lot of additional supplemental research not even mentioned in the videos to accurately answer some of the quiz questions.
By Varun G•
The Course is good, it covers lot of topics but there are certain drawbacks like the accent is not clear, have to read the transcript and other issue is the contents are very briefly explained, need to read it separately on google, if you are not from science background.
By SERGIO D F G•
There waw a lot of information but it wasn't clear or how was related with the previous course. Moreover, most of the quizzes depend of XLMiner and difficulties were encountered by some students with the application in the course.
By Hilary L•
This is a very difficult context to learn how to use a computer program--it's outdated, since XLminer is now called Analytics Solver, and it's very hard if you are having an issue with the program and can't get any help.
By Amani E T•
That was hard for me to understand as I am new in this field and I think I needed a simple basic or a better way to interpret things than that. Also, I encounter some difficulty in understanding the English language.
By Maria E M•
The content the course is really relevant for my professional career but using Excel to perform modelling is out-of-date. Most companies required a combination between this content and tools like Python and R.
By Himanshu K•
Although the teaching method is wonderful. A little bit more content will go a long way. Little more clarity in video lectures is required.
By Martin C•
EL profesor no es muy didáctico y su dicción no es fácil de seguir.
Preferentemente mayor uso de las herramientas de predicicon de excel
By Jabin M J•
Content is really good and the interactive interference is really awesome
Instructor Audio was blurry at times and hard to understand
By Kanishka P•
Using XLminer in the course created a problem for a while. Otherwise, the course is good.
By Brindrajsinh C•
Was not as happy as early as I am not able to use the taught software as it is paid
By Aditya G R•
Answers must be open for all kinds of software used
By Omkar K•
XL Miner too cumbersome to handle
By Raj M•
It was a good course
By Mridul S•
Very fast paced
By Richard F•
By mark w•
By David N•
This is an important class in data science general and very important in the Data Science curriculum. The class was covering very important concepts and eventually was able to deliver.
However, There were two major issues in this class in particular. One, the instructor’s English was very hard to follow, even with Closed Capturing that sometimes could not convert. As someone that English is not his first language, I can empathize, however there should have been better editing to the videos.
Two, the XLMiner Software we had to use in this class was only available for 15 days trial. This is a 4 week class and by week 3, the trial has expired. I did not plan to buy a license, and they will not extend it by a couple of weeks ( I tried calling both Coursera and Solver.com). And even though any other free tool (Python, R, MS Studios, etc) could have been used they gave different results and was not good for this class. This was frustrating. I ended up signing up for another 15 day trial with another account but that should have never been an issue.
By Joshua D•
Compared to the first course I felt this one was hard to follow. Information came at a furious pace with little explanation. It reminded me of a business algebra class I took once that had a stand in teacher. The stand in usually taught theoretical match and ended up talking over all of the student's heads. We had to bring him back down to earth. Also the XLMiner tool is only good for two weeks. I verified this with the help desk for the tool. You need better directions and/or a better tool that can be used throughout the 4 week course. Even your translator had issues with some of the annunciations by the instructor. Due to that you need better visuals, explanations of concepts and how he comes around to some of the answers he gets. I really hope the other courses are more like the first and less like this one or I will drop this specialization and go for another. Also I will no longer consider CU Boulder for my Masters.
By Steve R•
The professor is clearly an expert on the topic, but I don't believe this was an effective learning experience for me. Several reasons for this: (1) The professor was extremely difficult to understand, and this is exacerbated when trying to learn some more complex topics that involve equations and visualization. (2) Most of the lectures seemed to be rushed. For me, it seemed like we jumped from an introduction of the topic to expert level concepts without much transition or explanation.
Overall, I found that I didn't learn much in this course. I simply did the best I could to pass the quizzes and complete the assignments. This would have been fine for me 20 years ago, but these days I am taking courses to learn and better myself. I do not feel like this course helped me.
By Chetan S•
Not satisfied with the course structure. As you progress in the course, the course seems to be rushed with little detailing. For example the concept of calculating Gini Index. The calculations were not explained and the students are expected to figure it out basis the formula shared in the earlier slide. Had a hard time figuring out the calculation when a problem around Gini index calculation appeared in the Assignment. The accent of the instructor is also hard to understand. Had to refer to transcripts many a times to understand what was been said.