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.

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.

Pretty solid information. Great for the novice with no background. Loved that it was basic and useful.

Some interactive activities like vocabulary matching may help with recall and word/process definitions.

i think this course needs more practice cases so we can get much more comfortable with the methodology

Some of the detail was briefly covered, learners need to research more from other educational sources.

Since I believe this course is an important stage of the certificate, three sections may be too short.

More examples are needed and that the modeling programs have more comments to know what is happening

It gives a brief introduction to Data Science Methodology and explains it well with proper examples.

I enjoyed the course thoroughly but I wish more details were given for a deeper learning experience.