Apart from Python basic , the other concepts were little advanced to follow up.

Still need some course refinement in terms of content and examples can be more.

It's difficult if you're a beginner and the explanation is fast and condensed.

Good intro to python but had little to do with Data Science, AI & Development.

It has very good content, but the review exercises are not at all stimulating.

This course gives basic understating of Python in the field of Data Science.

This course is very easy, so it doesn't advance my skills in Numpy or Pandas

good structure but not enough possibilities to practice and "master" python.

i needed more information regarding database handling and using ai features

There is section in this course where the function is outdated (deprecated)

We scratch only the surface, it does not go deep enough in term of practice

Could be more descriptive with options and the process to execute programs.

pls try to slow down and breakdown the different commonds used in modules

in general it is good , but a lot if missing information in pandas section

The Capitol about API was not useful, the Lab exercices didnt work for me.

Week 5 assignment needs proper instruction and needs to be more organized.

Way too much information to try to digest. Should have a companion book.

this course is pretty much basic .The course name should be basic python.

Too little about too much. Nothing is explained and nothing really shown.

Well detailed.

However, would have loved to get more learning on dashboard

Only for learning the basics of python. not much on application examples.

This course will get you started, but it does not cover python in depth

Some technical problems while running the course, some content broken.

I am unable to pratice the course because of code is give very short.

It tells about the basics of python ,and also its role in datascience