课程概述
热门审阅
AG
May 13, 2019
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 :)
JM
Feb 26, 2020
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.
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.