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

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

needs work. quizes questions are repeated twice. bad teaching flow,

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

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

Content is super basic and outdated against the industry standards

there was a few glitches in the lab i hope you would consider them