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 :)
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.
por Vara P•
The core part of the methodology is not properly covered, it would have been better if the technical information such as tools and the modeling strategies are discussed in depth.
por Farzana S•
The course was OK but not up-to the Mark,the case study was quite tough to understand,the case study could have been something simpler so that the beginners can understand well.
por Ryan K•
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.
por Chetan K•
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.
por adwayt n•
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.
por Ramkumar G•
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.
por Umaimah Z•
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.
por Marnilo C•
The discussions were too introductory. This would be acceptable had there been links to resources which provided more detailed information on this important topic.
por Bercessio M•
The final assignment is not clear
Data preparation and modeling quite confusing for someone with no prior knowledge in data manipulation and statistical background
por Jayan T•
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.
por Siddhartha P•
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
por Declan H M G•
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.
por Головатенко В В•
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.
por Alok M•
Better problems (more generalized and relatable) could have been used to describe and make the modules understand better. Not satisfied with this course.
Teaches what it's supposed to but could be more indepth in establishing your understanding of the process of methodology from Analysis to Evaluation
por Lahiri B•
Questions asked during the course videos were repetitive and three of them could not be submitted due to some error, despite trying multiple times.
por SAMYAK S•
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
por Mark H•
Course was ok. It's difficult to formalize data science into a generic methodology where subject matter expertise is separated from the process.
por Baptiste M•
IBM Developer Skills Network tool is a complete disaster, spending more time trying to get what should have been a PDF than actually studying...
por Pedro C F•
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.
por Jennifer K•
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.
por Akash T•
The examples used were poor and the definitions of each stage were not concrete, workable definitions but rather very abstract definitions.
por Andrea M•
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.
por sidhartha m•
The example/s (with all due respect to the good knowledge of the author) could be improvised, however
overall, an excellent course!
por Raymond P•
I think it's a little bit vain to introduce in such way for some people without much background in statistics and machine learning .