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...
por Alina T•
Jun 27, 2019
I found this course to be a little bit too vague and theoretical, and hence, difficult to understand sometimes. I personally prefer to study and work with hands-on and applied aspects of Data Science instead of theory and vague definitions.
por 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.
por Aleix C T•
Jul 17, 2019
good content, surprisingly weak delivery and teching
por Esteban P•
Jul 19, 2019
I think that they should define more the specific concepts of all the states of the methodology, and then make references to "hypothetical" cases. Personally, I lost more trying to understand the examples and I had to go to find more specific information in other sources.
por Saman R•
Jul 22, 2019
The lecture videos are extremely verbose and monotonic. The features on the lecture slides have low resolution, and consequently, it's hard-to-impossible to read some of the contents on the charts and graphics. The lecturer talks non-stop without properly distinguishing between the steps. Lastly, the lecture slides are often redundant and have contents that don't really represent the step being lectured.
por Taimore I A•
Jul 30, 2019
Case study should be covered in more detail. The other content is good.
por 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!
por Sakir A•
Aug 06, 2019
The cognitive classes can be improved.
por piyush d•
Aug 13, 2019
explanation could have been better along with examples. It felt more like reading a text book.
por 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..)
por Mak C Y•
Apr 26, 2019
Grateful if more explanation or more cases can be given. Also, I found that the final assignment has a mistake, making the total available scores changed from 10 to 9, which force us to make a "perfect answer" to get almost a full mark (the passing mark is 8 marks).
por Marnilo C•
Apr 26, 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.
por Kate O•
May 09, 2019
This course provides a clear approach to data science methodology. The lab exercises are difficult to open and use, but the case study presented in the instructional videos is informative.
por Mohammad Q•
Aug 21, 2019
Good Methodolgy but I feel like I need more explaination about it
por Hassan B•
Aug 20, 2019
It's good course but still need more explanations and examples to be clearer.
por 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.
por Cornea D A•
Sep 12, 2019
Some summarized text support would have been useful for the final assignment.
por Shraddha K•
Aug 25, 2019
More explanation is required. unlike other courses this course needs we refer other sources on net.
por 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.
por 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.
por 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.
por Igor L•
Oct 02, 2019
Too basic and too easy
por Reinhard H J•
Oct 04, 2019
Very generic and superficial explanations. Needs more substance. The best thing was the explanation of the ROC curve.
por Fabrice A•
Oct 07, 2019
the video lectures was really fast making it difficult to understand
por 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.