18 juin 2021
Very interesting course. It shed a light on what the structured approach really is. It's worth to pause for a moment with every step of the methodology and think how to apply it in real life. Thanks!
13 mai 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 :)
par Ryan K•
8 nov. 2018
Using a case study to illustrate the ideas is great. But it will be better if a less complicated example can be used to help following the concepts easier and better understood.
par Chetan K•
16 janv. 2020
An easier and more relatable case study would exponentially increase understanding. The present one had complex medical terms and added a layer of complexity to the course.
par adwayt n•
5 mars 2019
It was very theoretical and, at times, a little boring as well. I was hoping for more of a hands on experience. But it was definitely very instructive and educational.
par Ramkumar G•
24 sept. 2019
Since we are following a track, the previous two courses were basic and in this course we came across to lot of data science terminology without proper introduction.
par Umaimah Z•
8 juil. 2019
The example provided was not good at all to follow on the concepts. i had a hard time following up with the video since very little time was spent on each concept.
par Marnilo C•
25 avr. 2019
The discussions were too introductory. This would be acceptable had there been links to resources which provided more detailed information on this important topic.
par Micatty B•
9 déc. 2019
The final assignment is not clear
Data preparation and modeling quite confusing for someone with no prior knowledge in data manipulation and statistical background
par Jayan T•
22 oct. 2018
Its an important topic for data scientists, but wish it was taught in a more interesting way with multiple examples of different types instead of one case study.
par Siddhartha P•
21 avr. 2019
Very short and filled with too much jargons. A much simpler case study would have been great instead of deep diving into the world of Life Science & Healthcare
par Declan H M G•
13 mai 2019
I found the material here vague and difficult to follow at times. Which led to confusion particularly about what was expected with the peer graded assignment.
par Vladislav G•
25 janv. 2020
Well, when the previous courses in the specialization were a total waste of time, this one is adequate, but still not very usefull for data science itself.
par Wilbert V G•
3 juin 2021
The speaking is too fast and the slides don't help much to follow up the explanation. I found it is better just to read the transcript at my own pace :-)
par Alok M•
12 janv. 2020
Better problems (more generalized and relatable) could have been used to describe and make the modules understand better. Not satisfied with this course.
31 mars 2020
Teaches what it's supposed to but could be more indepth in establishing your understanding of the process of methodology from Analysis to Evaluation
4 mai 2021
This information is replicated and immersed in the workplace of a data science expert.
In my opinion, there was no need to attend a separate course.
par Lahiri B•
13 oct. 2020
Questions asked during the course videos were repetitive and three of them could not be submitted due to some error, despite trying multiple times.
par SAMYAK S•
14 avr. 2020
It's good but I think the case study is not easy to understand and another case study must be included which easily makes you understand this topic
par Mark H•
30 janv. 2019
Course was ok. It's difficult to formalize data science into a generic methodology where subject matter expertise is separated from the process.
par Baptiste M•
25 oct. 2019
IBM Developer Skills Network tool is a complete disaster, spending more time trying to get what should have been a PDF than actually studying...
par Pedro C F•
18 févr. 2020
the case study is not easy for someone whos is doing it for first time, also you need more text for explaining the approach analytic.
par Jennifer K•
4 avr. 2019
The topic is super important and interesting. The content of the course was a bit hard to follow. More real-life examples may have helped.
par Sai T•
22 oct. 2019
The examples used were poor and the definitions of each stage were not concrete, workable definitions but rather very abstract definitions.
par Andrea M•
6 sept. 2019
I guess it is a good course for someone who has never taken any research methods. But having a PhD this course was quite useless for me.
par sidhartha m•
1 déc. 2019
The example/s (with all due respect to the good knowledge of the author) could be improvised, however
overall, an excellent course!
par Raymond P•
11 mai 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 .