It gave a nice overview of how things flow in a data scientist mind. Provides a framework to think approach problems.

Peer-reviewed exercises often result in inconsistent feedback! The course requires a more rigorous method of grading.

Buen curso aunque a mi parecer un poco monótono y repetitivo a veces. No tenía muy claras las explicaciones a veces.

I learned a lot on Data science methodology. Now i know how data scientist thing and work. It was a good experience.

love the food recipe case! i am not familiar with clinical case but the food recipe case helped me learn the theory.

A good introduction to the process a data science uses to answer complicated problems. I found it very interesting.

Content and learning is good, but you can improve quality of images used in videos. Sometimes text was not readable

I found it difficult to understand the Data understanding step in the course.

Examples can be little in normal terms

The final assessment is very confusing for starters and needs to be more in line with the material actually taught.

This course should have been in the later stages. It is too early to understand all what the instructor has to say.

Loved the course overall, only wish it had reference to further detail the theoretical base and see more examples.

A solid course that covers the fundamentals of the process a data scientist will go through to complete a project.

I know this is a management level course presented at a high level, but I was hoping for more projects/exercises.

A good overview on the Data Science Methodology. This course could be the launching pad for Data Science journey.

A nice overview of methodology but at times it feels rushed. Assignments could do with a bit more rigour as well.

You should have taken better usecase to explain the methodology. Also there is some overlap between some stages.

Great content. I learned more than I expected. tThe videos are great and the lab to practice are well elaborate.

This course is useful and very interesting but the contents of this course is formulated too hard to understand.

This was a good introduction to data science methods. I appreciated the shortness of each video and assessment.

A bit too fast. I think more case studies will help to understand the differences between the different stages.

the course provides more insights into data science methodology for resolving a problem with specific examples

It needs to be more practical. A guideline telling what you really need to do inside each step would be nice.

Providing the slides for each of the lectures is advised as it helps students go back and review the content.

To little descriptive of each steps, too much focus on example which make it hard to apply to other problems

Some times are not easily understood for beginners content needs improvement. There are some missing threads