The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.
The course was excellent. A little difficult and overwhelming at times but as long as you stayed the course the professors gave you every opportunity to succeed. Thank you for your time professor.
교육 기관: Aaisha A•
No concept was shown in Excel, it was just like paper and pen, the traditional one. And the professor was eating half of the words in between. Please explain all the concepts using excel. this course is a total waste.
교육 기관: Dan L•
In the course info this is described as the first course in the series and that it requires no prior knowledge but the first week quiz contains questions referring to an equation 'discussed in the previous course'.
교육 기관: E B•
Given this is the third (or fourth) iteration of this course, it's telling that the errors from the original release remain in the videos and quizzes. There are other, higher-quality Data Science MOOCs available.
교육 기관: Abhiroop B•
The Audio is not audible properly and the course material is not explanatory. The content and the quizzes or tasks dont add up. I had to often refer to google to find the modeling ideas.
교육 기관: sagar c•
The course structure is not thoughtfully prepared. There is a lot of confusion around what the instructor wants to say. The practice quizzes and course content have no match whatsoever
교육 기관: 吳詠妤•
Don't know how to apply the statistics and excel formula in real world situation. Besides, it becomes focus on approving statistics equation than teaching data analysis in excel
교육 기관: Iselie I•
En mi opinion es un tema muy interesante sin embargo cuesta entender lo que el profesor está diciendo por lo que es muy dificil llevar el ritmo del material...
교육 기관: Esuene S•
Poorly coordinated lectures. References to resources that are not provided. No response (at least, for days on end) when questions are posted on the forums
교육 기관: Roberto K•
Interesting statistical concepts, and great theory. However, the lectures and the quizzes do not prepare the student well for the final project.
교육 기관: Siamak R•
Not a well structured course at all. There is not much clear explanation on the subjects. You pretty much need to figure it out by yourself.
교육 기관: Ashish G•
Although course is good but not satisfied with frequent updates for which you have to again pay as we had already paid for the course.
교육 기관: Josh H•
Terrible course, almost no focus on Excel and the lectures were incomprehensible. Please redo this class with Dr. Borg teaching it.
교육 기관: Inna G•
not about data analysis in excel, but mostly how to create models, not related to real life and very hard to grasp
교육 기관: Richard C•
Where is the course study material and are you providing a book on this subject and Excel? You have me lost.
교육 기관: Rahul K•
Really bad course, teaches stuff which are very basic and then the tests are really nothing based on that
교육 기관: Aizaz S•
absolutely one of the worst courses... I am deleting it from my list.
no slides make it harder to follow.
교육 기관: Alexey E•
the course neither explains statistics properly, nor teaches how to use excel effectively, disappointed
교육 기관: Elias R F•
This is more of an introduction to statistics lesson than one in excel... not what I had signed up for
교육 기관: Alex B•
Not enough detail and information provided in the lectures to undertake the final assessment.
교육 기관: He Y•
Really confusing and struggled a lot. The course doesn't prepare you for the final project.
교육 기관: Rochelle R•
I would not recommend this course. It was very poorly planned and seemed thrown together.
교육 기관: Lalitha P•
completely not relevant to my educational background. Highly very tough to understand.
교육 기관: Michael K•
if you do not have a background in statistics do not expect to pass this course
교육 기관: Nyrola E•
The second part of week 4 is really confusing . Poor design of the contents.
교육 기관: Nitin P•
Very poor material and instruction videos, with no logical flow or process.