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.
JR
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It is a very important course to understand the procedures and thought processes behind data science. I strongly recommend it to those who are unfamiliar with data science or reserach methodology.
By Sid
•Dec 1, 2019
The example/s (with all due respect to the good knowledge of the author) could be improvised, however
overall, an excellent course!
By Raymond P
•May 11, 2019
I think it's a little bit vain to introduce in such way for some people without much background in statistics and machine learning .
By Александр Б
•Nov 15, 2021
Хороший курс, но я не могу скачать свой сертификат. Обидно, потому что прошёл все задания, но значок не светится в личном кабинете
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 podrían 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.