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.
By 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.
By 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.
By 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
By 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.
By 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
By 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.
By 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...
By 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.
By 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.
By Akash T•
The examples used were poor and the definitions of each stage were not concrete, workable definitions but rather very abstract definitions.
By 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.
By sidhartha m•
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•
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 Islam A•
the narrator is speaking fastly as i can't understand that with this high rate words with my little english experience in listening
By Josep R C•
Not a complicated course which gives you an accurate, intuitive and useful methodology applicable to any Data Science problems.
By AAKASH K•
Lectures were informative but slow. Need to be more engaging to keep interest ongoing.I dozed off during certain lectures.
By Joao C•
Some of the lectures were not very clear. This grading is based on a comparison with other courses in this specialization.
By Sylwia K•
For me this part was a little too much descriptive and given example (hospital patients) is not very easy to understand
By Bhavesh S•
Please change the audio track without earphones it is impossible for us to listen otherwise i would have given five.
By Ali I•
Hi Dear Team ,
I thinks this course need more clarification and more details and examples.
Thank you fro your effort.
By Reinhard H J•
Very generic and superficial explanations. Needs more substance. The best thing was the explanation of the ROC curve.
By Michael E S•
IBM python online exercises were difficult to complete because of faulty online implementation. Content seems dated.
By Hoang N H D•
Overall is good, except the example of heart disease was too complicated to transmit clearly the idea of this course
By Arup K N•
This course is more theoretical than practical which kinda makes this course a little boring then the other courses.