The case study used in the course was too complex to understand, choosing different case study to explain the concept is more beneficial for students.

Generally very good content. I would like to have learned more about the various analytic approaches with more examples of when each is appropriate.

Me encanto este curso. Es un poco general pero aporta mucho conocimiento sobre que es una metodología y como te ayuda siendo un científico de datos.

Good overview. However, a simpler example rather than medical could be used. The medical terms are difficult to understand for a non-native speaker

There is bug in the submission page of peer graded assignment. I had to submit thrice. Only a part of my answer was being uploaded after submission.

Good information but the first few sections were frustrating because you can't really answer questions about a complex model till you use it a bit

More time could have been spent on model evaluation as it is the most complex topic. Otherwise the class is very interresting and well structured.

An introduction class for those who never get in touch with Data Science, but for people who learnt this before, it is definitely a waste of time.

Good overview of a "scientific method" applied to the field. this might be a better choice for the introductory course in the certificate program.

Overall a good beginning course for data science methodology. Some of the steps and processes could have been explained definitions/explanations.

Grading procedure is very weak and course has synchronization of lack of lab and theory. The lab seems very difficult with lots of python coding.

It could be much more interesting if we had the image of someone explaining, if we could see someone, that could show excitement on the subject.

All steps of data science methodology are explained very well. Final assignment could have been more challenging (with some more quiz questions)

This course is really very helpful for upcoming data scientists. i enjoyed a lot this course and i hope this will give me benefit in future.

simple but not easy. But I would like it if they could include a written assignment in between the course too before the final assignment.

In my opinion the first three courses of the IBM Data Science professional certificate can be neatly combined into an Introductory course.

I really appreciate the methodology and how to use it

asort of check list at the end to emphazise the relevant point will be a great plus

Data science methodology is clearly explained with example. Voice in the video is bit, it could be improved. Great course for beginners.

Very good examples to understand each phase of the methodology. Just include example for each type of approach would be five stars rate.

This thing here is VITAL! I would loved this to be bit more hands on. But i guess learned will be applied more closely in next courses.

Solid course, would be great if the embedded labs (web based Jupyterlite) could be accessed separately for use as reference material.

A very good framework to guide the analysis. I think it's better to put it just after the orientation session while before the tool.

Hi I found this course useful though there can be better example than food and linking of python at lab rite away was more confusing

This could've been condensed down immensely, but I suppose it's something you deal with when sorting through data for data science.

The course was very informative I just wish it went into a little more detail of the statistical tests used in the methodologies.