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

Lectures were helpful and the content was great. It would be helpful if you guys can provide lecture slides.

It was a little difficult to understand the writing. Everything else was great. I'm learning a lot, thanks.

need more examples if possible,

the readmission example is not clear

the cuisine ingredients example is clear

The video lecture sometimes feels too fast to follow as the content in the lectures are new to the student.

The codes on the labs need updating. They don't generate the visualization necessary to reinforce learning.

good course but video explanation in not good , and his content not understandbel overall good course.....

The sited examples in this course makes the learning easily understandable. Of course, everyone likes food

Understanding Python part without having prior knowledge is confusing & led to somewhat loss of interest.

Excellent For Fundamentals on methodology, would like to learn more about Prescriptive Analytic approach.

I think some parts of the course wasn't clear enough, but by researching on google about it helped a lot.

Very good and easy to follow, although more in-depth examples of different model would have been a plus.

This course was interesting but I felt that it was slightly confusing to apply for the final assignment.

It is a bit challenging for beginners but totally worth it. Ensure you read listen to the material well.