DP
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This course covers the end to end cycle suggested framework that can be useful not only in Data Science but also in other Research Projects that manage information to create and deploy a solution.
CE
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The course is well structured but the case studies were not well elaborated, felt like I was struggling to understand. Also, Data science methodology should be taught after a course in Python.
By Islam A M
•Dec 13, 2019
the narrator is speaking fastly as i can't understand that with this high rate words with my little english experience in listening
By Amir M
•Mar 23, 2023
Good course, but the case studies were not easy to understand. I think more examples are needed to elaborate the DS methodologies.
By christopher a e e
•May 23, 2023
Realmente podrÃan ofrecer mas información detallada acerca de la metodologia e incluir actividades practicas que se puedan hacer
By Rushikesh J
•Jun 23, 2021
The course has delivered basic understanding of the flow, but
1)No clear images in videos
2)This could have been more interesting.
By SATHESH M E
•Oct 28, 2023
Need more videos from professionals and professors perspective. Now its only look like from only reading the ppts not teaching.
By Josep R C
•Apr 22, 2020
Not a complicated course which gives you an accurate, intuitive and useful methodology applicable to any Data Science problems.
By AAKASH K
•Apr 3, 2020
Lectures were informative but slow. Need to be more engaging to keep interest ongoing.I dozed off during certain lectures.
By João R d C
•Dec 19, 2019
Some of the lectures were not very clear. This grading is based on a comparison with other courses in this specialization.
By Sylwia K
•Mar 9, 2019
For me this part was a little too much descriptive and given example (hospital patients) is not very easy to understand
By Bhavesh S
•May 27, 2020
Please change the audio track without earphones it is impossible for us to listen otherwise i would have given five.
By Ali I
•Nov 4, 2019
Hi Dear Team ,
I thinks this course need more clarification and more details and examples.
Thank you fro your effort.
By Reinhard H J
•Oct 4, 2019
Very generic and superficial explanations. Needs more substance. The best thing was the explanation of the ROC curve.
By Michael S
•Apr 13, 2020
IBM python online exercises were difficult to complete because of faulty online implementation. Content seems dated.
By Dung H
•Feb 19, 2020
Overall is good, except the example of heart disease was too complicated to transmit clearly the idea of this course
By Arup K N
•Jun 23, 2019
This course is more theoretical than practical which kinda makes this course a little boring then the other courses.
By Giovanni P
•Feb 4, 2020
Interesting, even though there are a lot of theoretical lessons, and many times they require an extreme attention
By Islam S
•Nov 7, 2020
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
•May 31, 2020
The final assignment was a bit vague probably due to the choices of subject we were allowed to perform this on.
By Omar S
•May 22, 2020
a la herramienta externa le hace falta un entorno mas amplio para que se pueda aplicar los recursos aprendidos.
By Nikolay B
•Mar 18, 2021
very shallow course. Better that two courses before, but still no real knowledge learnt, no skills practiced
By Milena S
•Feb 4, 2020
Too complex of a case study to understand stuff. Also, too boring and theoretical and very less interactive.
By Maria
•Apr 21, 2020
The content is good, but there are a lot of typos and mistakes in the lessons and the assignments/quizzes.
By Nicolas G
•May 28, 2019
This course was more organized the others, however, it needs to provide its student with more definitions
By A S
•Apr 6, 2019
It was ok. Definitely one of the weakest of the cert. Instructions were vague for the final assignment.
By Pasha B
•Jan 17, 2022
presentation slides are poorly prepared, images used either not in the original size or bad resolution