overall the course was great

but the number of questions in quiz is quite less.

Exams at the end of modules do not represent the content well. They are too easy.

It is not balanced. It is too easy in the first 3 weeks and too hard in the last.

better to see the instructor not only powerpoint

and add some details and training

inefficient. inadequate.

concepts have been partially taught and are pretty vague.

Not Good for complete beginners, only touched topics, haven't explain in detail.

Good course however there should be more emphasis on practice rather than theory

some examples weren't updated to the last visual configuration of tools provided

I feel there was a bunch of stuff missing to complete the peer graded assignment

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

es un curso muy completo para aprender a programar y analizar datos con python.

Las preguntas de los surveys abarcan los videos y no son totalmente entendibles

There were many spelling errors. The estimated length of the labs were way off.

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There is section in this course where the function is outdated (deprecated)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