The content of the course is good, but how the videos are made produce me sleep, because the content is not expalined in a natural way, but it is only read.

Quite complete. I recommend it. It didn't get 5 stars, because too many concepts were just brushed over, but it is an excellent review of how to handle data

It would be even better if we are provided with the slides to review by ourselves before the final exam instead of needing to go through the videos again.

Very well designed! Some of the best courses! Good videos with illustrative images and quality sound. Would be nice to get some help with the lab exercises

Great content and clearly explained. I would just add more practical exercises to consolidate all the information provided. But I really enjoyed. Thank you

This gives a basic knowledge of Data Science and explains neatly in every steps. Appreciate your efforts in putting this course in neat and expressive way.

Some concepts are difficult to understand, probably because I am hearing them for the first time. Hopefully, next section of the courses will address this.

Great course with lot of good information.. but a bit over the head stuff for non technical people due to all the Python language included in the course.

Good overview of the data science methodology. However, to fully understand the topic, need to do more practices and hand-on on the real world project.

Teaches you how to think like a data scientist within the business context. Instructor could do a better job at explaining things the quiz tests you on.

great course but hard to understand using heart failure situation as example, that i think most of the people hard to imagine it because its not common

Very structured content which is easy to understand. A case sudty with less medical terminology would be easier to understand for non-native speakers.

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)