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

It's quite clear and interesting course. What lack is a reference to additional reading to give more overview about the subject.

It would be great if it's possible to add labs with predictive and descriptive models to this course (not only classification).

The case study used was difficult to understand.

The lab tutorial too were not detailed.

However the course is very interesting .

I really liked the course content. Although i would love see another case study added into the course for greater understanding

Very informative course with the exercises designed to cover complete data science methodology based on the Mr. John Rollins.

Examples shared to explain the methodology could have been a bit easy so every domain person can perceive it equally well.

the final assignment is too open-ended. no exact questions and answers. everything is left to understanding of your peers.

Methodology is clear. I liked the Python exercise with the recipes. I could see how it could apply to other industries.

Well-structured course with crystal clear explanations. Case study is intriguing. However lectures are still a bit dry.

This course wouldn't be helpful at all if it wasn't in the data science program. This couldn't be an individual course

The example of Congestive Heart Failure given in video to explain data science methodology is difficult to understand.

I feel we need slightly more case study, not enough case study example! So, understanding the meaning "methodology".

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.