May 14, 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 :)
Aug 09, 2018
This is my favourite in the series, the 10 questions to be answered were mind opening. The repetition after every video makes easier for important points to stick to the brain. Very good indeed...
By Rick G•
Jul 31, 2019
I wanted more out of this class and I think this entire certificate should use this methodology as the manner in which all the classes and projects are done. It was still good to take to get a good foothold of the methodology, but by structuring that same methodology towards this certificate would go a long way in enhancing the overall experience. The first class could go over the analytic approach. The next three or four over data requirements and gathering data. Another three over the exploration and then use the final two classes or so to go over modeling and tweaking. There's potential for such a concept. Make it so!
By Taimore I A•
Jul 30, 2019
Case study should be covered in more detail. The other content is good.
By Sakir A•
Aug 06, 2019
The cognitive classes can be improved.
By Muhammad U T•
May 31, 2019
It provides a satisfactory overview of the data Science methodology, but the slides and the videos does not suffice the needs to fully understand the concepts and the Labs. Supplementary readings for this course are MANDATORY to understand and fill the knowledge gaps for several topics named in the videos.
By Abhijeet B S•
Jun 03, 2019
CHF case study was the worst part
By Jacqueline ( G•
Jun 04, 2019
I think the example on IBM is good, but on the lecture slide is not very easy to understand.
By Amir S•
Jun 08, 2019
The assignment is not very clear. The example had better to be more iterative
By piyush d•
Aug 13, 2019
explanation could have been better along with examples. It felt more like reading a text book.
By Yves J•
Aug 15, 2019
Methodology course should be done at the end of the whole certificate course or at least when the student has a better understanding of all the statistical methods available (regression, machine learning..)
By Hassan B•
Aug 20, 2019
It's good course but still need more explanations and examples to be clearer.
By Mohammad Q•
Aug 21, 2019
Good Methodolgy but I feel like I need more explaination about it
By Shraddha K•
Aug 25, 2019
More explanation is required. unlike other courses this course needs we refer other sources on net.
By Umaimah Z•
Jul 08, 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.
By Andrea M•
Sep 07, 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.
By Prabir C•
Sep 11, 2019
very theoretical topic and hard to follow with case study give, The final assignment is also very unclear on what to expect. This course content needs to be redone by the instructors.
By Cornea D A•
Sep 12, 2019
Some summarized text support would have been useful for the final assignment.
By Philipp K•
Jun 12, 2019
too much information on slides. Use more pictures for visualization.
May 28, 2019
please update video with new IBM cloud UI screen
By Venkatesh S•
Sep 18, 2019
I felt like there was too much emphasis on a top-down approach. Many a time one doesn't have the good fortune of going through the entire data science methodology as mentioned here. The client has already collected the data and then comes and gives you a problem. In this case, you need to have a bottom-up approach - play with the data already collected and see which analytic approach is feasible. In addition, not enough was done to say that this 'story' is the ideal scenario! Rarely do you get the chance to do a data science project so neatly. But it is always useful to know how things would work in a perfect world.
By Ramkumar G•
Sep 24, 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.
By Igor L•
Oct 02, 2019
Too basic and too easy
By Reinhard H J•
Oct 04, 2019
Very generic and superficial explanations. Needs more substance. The best thing was the explanation of the ROC curve.
By Fabrice A•
Oct 07, 2019
the video lectures was really fast making it difficult to understand
By Suyog J•
Oct 09, 2019
Appreciate the content so far. This can be though made more in-depth when it comes to hands on. Including graded level hands on practice can enhance the learning experience the students get from this course.
Thanks for enabling us with all through the course.
By Chris L•
Oct 15, 2019
common sense is rated as professional in this course.