课程概述
热门审阅
NN
Jul 6, 2019
I like the way they provide sample with food preparation on each of the stage of data science methodology. Need to give more sample for the study case to give more insight and understanding.
JG
Nov 29, 2019
This was a clear and concise overview of the methodology and using the case study really helped (although sometimes it got a bit advanced considering this comes before actually learning models).
2401 - Data Science Methodology 的 2425 个评论(共 2,665 个)
创建者 Александр Б
•Nov 14, 2021
Хороший курс, но я не могу скачать свой сертификат. Обидно, потому что прошёл все задания, но значок не светится в личном кабинете
创建者 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
创建者 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.
创建者 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
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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
创建者 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.
创建者 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.
创建者 Reinhard H J
•Oct 4, 2019
Very generic and superficial explanations. Needs more substance. The best thing was the explanation of the ROC curve.
创建者 Michael S
•Apr 13, 2020
IBM python online exercises were difficult to complete because of faulty online implementation. Content seems dated.
创建者 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
创建者 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.
创建者 Giovanni P
•Feb 4, 2020
Interesting, even though there are a lot of theoretical lessons, and many times they require an extreme attention
创建者 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
创建者 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.
创建者 Omar S
•May 22, 2020
a la herramienta externa le hace falta un entorno mas amplio para que se pueda aplicar los recursos aprendidos.
创建者 Nikolay B
•Mar 18, 2021
very shallow course. Better that two courses before, but still no real knowledge learnt, no skills practiced
创建者 Milena S
•Feb 4, 2020
Too complex of a case study to understand stuff. Also, too boring and theoretical and very less interactive.
创建者 Maria
•Apr 21, 2020
The content is good, but there are a lot of typos and mistakes in the lessons and the assignments/quizzes.
创建者 Nicolas G
•May 28, 2019
This course was more organized the others, however, it needs to provide its student with more definitions
创建者 A S
•Apr 6, 2019
It was ok. Definitely one of the weakest of the cert. Instructions were vague for the final assignment.