This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)
Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.
By Ali I•
Hi Dear Team ,
I thinks this course need more clarification and more details and examples.
Thank you fro your effort.
By Reinhard H J•
Very generic and superficial explanations. Needs more substance. The best thing was the explanation of the ROC curve.
By Michael E S•
IBM python online exercises were difficult to complete because of faulty online implementation. Content seems dated.
By Hoang N H D•
Overall is good, except the example of heart disease was too complicated to transmit clearly the idea of this course
By Arup K N•
This course is more theoretical than practical which kinda makes this course a little boring then the other courses.
By Giovanni P•
Interesting, even though there are a lot of theoretical lessons, and many times they require an extreme attention
By Islam S•
A good simple yet essential course to establish a mind set on how to deal with data problems in an organised way
By Bill W•
The final assignment was a bit vague probably due to the choices of subject we were allowed to perform this on.
By Omar S•
a la herramienta externa le hace falta un entorno mas amplio para que se pueda aplicar los recursos aprendidos.
By Milena S•
Too complex of a case study to understand stuff. Also, too boring and theoretical and very less interactive.
The content is good, but there are a lot of typos and mistakes in the lessons and the assignments/quizzes.
By Nicolas G•
This course was more organized the others, however, it needs to provide its student with more definitions
By Adam S•
It was ok. Definitely one of the weakest of the cert. Instructions were vague for the final assignment.
By RAJ S•
A simple example to explain the course would have been more beneficial for a wider audience I believe.
By Yusuf A P•
Decent course but can be shortened. A lot of the material was hard to follow and not very interactive.
By shraddha k•
More explanation is required. unlike other courses this course needs we refer other sources on net.
Concepts could be even more clear and understandable because this seems to be important subject
By piyush d•
explanation could have been better along with examples. It felt more like reading a text book.
By Jacqueline ( G•
I think the example on IBM is good, but on the lecture slide is not very easy to understand.
personally, I think it is a bit wordy and the pictures in slides are of low resolution.
By Tanmay K•
Statistical Tools were not explained in detail. Hence at one point it was confusing.
By KU B K•
The case study is a bit hard to follow and the explanations are bit too general.
By Cornea D A•
Some summarized text support would have been useful for the final assignment.
By Hassan B•
It's good course but still need more explanations and examples to be clearer.
By Amir S•
The assignment is not very clear. The example had better to be more iterative