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.
par Kate O•
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.
par Prabir C•
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.
par ephraim j•
this course is helpful and the video aspect is fine.
how can we have access to the videos covered in each course? i need them for my personal revision. is very important to me please.
par Nugraha S H•
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.
par Gayatri H•
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.
par 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.
par 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.
par 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.
par 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.
par 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.
par 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.
par 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.
par 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.
par Micatty B•
The final assignment is not clear
Data preparation and modeling quite confusing for someone with no prior knowledge in data manipulation and statistical background
par 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.
par 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
par 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.
par 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.
par Wilbert V G•
The speaking is too fast and the slides don't help much to follow up the explanation. I found it is better just to read the transcript at my own pace :-)
par 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
This information is replicated and immersed in the workplace of a data science expert.
In my opinion, there was no need to attend a separate course.
par 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.
par 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
par 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.