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.

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

The course is good, but the labs, lot of times can not be executed

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

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

The Numpy, Panda and Rest API course wasnt as basic as it should.

To less information in to much content. And why AI in the header?

Wish the video lessons could be clear. Some parts are confusing.

in my opinion, it is shallow. I expected to gain more knowledge

Some code is outdated and not correctly formatted in the quiz.

from wk04 on the course content become very difficult to follow

Could have been a little more detailed with better assignments.

could use a deeper dive into numpy, pandas and their extensions

Ultimos modulos muy complejos como para ser nivel principiante

course is bit slow and API chapter can be taken in more detail