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 :)
Feb 27, 2020
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.
교육 기관: Amit K•
Apr 05, 2020
Videos are somewhat confusing. They are not target to the current topic but also states about other topics as well in the same video, which makes it difficult to understand and easy to loose track of what is being taught in the video.
교육 기관: Daniel T F•
May 16, 2019
Presents you a good overview according the main topics of data science methodology. The case study is a good example to illustrate to content. But with respect to my experience the labs are very limited concerning the learning effect.
교육 기관: Ivo M•
Dec 13, 2018
The narrator was quite fast and I could not engage with the video lectures so well on this course. Consider review the Hospital case study too, which is quite complex when trying to understand the new concepts on the methodology.
교육 기관: MUNIB U R•
Jun 22, 2019
The course is a bit confusing for a beginner, the concepts should be clearly explained, the prediction model and the descriptive model should be taken in different videos.The learner should understand the difference clearly.
교육 기관: Ashwini K•
Jun 04, 2020
It would nice if case study and lab example would be same to follow more deeper understanding between video class and example .The web scraping example is nice and should be in presentation for understanding purpose.
교육 기관: Roy R•
Apr 04, 2019
Difficult being able to apply the final test to the complete module objectives. Though it was good foundation, felt it should be split into several workable modules/stages instead of all 10 methodology steps at once.
교육 기관: Munkhbolor G•
May 09, 2020
All example and cases are related to hospital. Every single subject with different case would be highly appreciated and helpful to others. Hospital case were kind of confusing as i am NEW BEE for data science.
교육 기관: 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..)
교육 기관: Roshan P•
Apr 17, 2019
This could be little bit more in detail. The content and the methodology was introduced but could be more in detail about all the analytical approaches available and why we chose decision trees for the CHF.
교육 기관: Jason L•
Jun 25, 2019
Good intro, but I felt the introduction to python might have been better before this subject. Could have spent more time on the Labs, seemed more complicated if you didn't have any background in coding.
교육 기관: Erik P•
Mar 29, 2020
Rather open ended. The main points should be crisper. For example, why is feedback not part of the final assessment , where the keywords repeated in the training and in the final assessment?
교육 기관: Aman R•
May 08, 2020
The last course jumped to python notebooks which has a lot of coding,while Python language is yet to be covered,I feel the notebook assignment should have followed after the Python module.
교육 기관: 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.
교육 기관: 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.
교육 기관: Nugraha S H•
Mar 21, 2020
As I'm not familiar with US healthcare system, the case study given in this course is very confusing to me as there are many unfamiliar words and terms being thrown here and there.
교육 기관: Gayatri H•
May 31, 2020
The final assignment is not very specific. Its's largely open ended and left up to individual discretion. Please make it quiz based or project based, where results are definitive.
교육 기관: Vara P•
Jun 22, 2020
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.
교육 기관: Farzana S•
May 14, 2020
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.
교육 기관: Ryan K•
Nov 08, 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.
교육 기관: Chetan K•
Jan 16, 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.
교육 기관: adwayt n•
Mar 05, 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: Bercessio M•
Dec 09, 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