final assessment should have been more inclusive to things like numpy and pandas

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.

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.

There is section in this course where the function is outdated (deprecated)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

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.

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.

S​ome technical problems while running the course, some content broken.

The final project can become confusing, and almost impossible to pass

The course could have been more engaging for a beginner level student

There is some incorrect content and videos that do not work properly.

Hard to approach the lab as there are several network errors issused

Did not like using IBM Watson - was to complex and not user friendly

Nice training but final assignment's last optional one is not clear

Very good illustration, but in week 3, there are too many mistakes.

Not the best course to take when you want to properly learn python

The course had typos in the final assignment that were misleading.