Comentários e feedback de alunos de Análise de dados com Python da instituição IBM

This course has really helped me boost my confidence levels in handing data with Python. Thanks for the instructor.

Muy acertado en los temas tratados, agregaron al final del curso los subtitulos en español por lo que se agradece.

Well organized topics with pretty sufficient instruction. The more advanced coding only got a cursory explanation.

Very good course, it goes straight into the useful tools and concepts in regards to data analysis and prediction.

I mean, it's super well prepared, but the scalation of topics seemd to be a it too quick, at least it was for me.

The videos are bit faster. It would have been better if it was done by some real teacher rather than voice over.

use of names was a bit confusing at times compared to final assignment, but otherwise very helpful and enjoyable

This course should come after the Data Visualization with Python course in the Professional Certificate program

Maybe a bit too fast for those who are not familiar with various kinds of regressions...

Other parts are great!

Interesting course, but there are some moments when they give an interesting idea, but not the implementation.

Good course, but it's too basic. I learned basics of pandas, scikitlearn, seaborn and other python libraries.

High quality, concise content, well timed videos with pop up questions that ensures focus of the participant.

The Content was really good but some topics are explained in very short.

But Thanks for this awesome course!

The difficulty level of this course goes up very dramatically and it took me very long time to understand.

Best course in the specialization so far. An introduction to the statistical concepts could be beneficial.

Very good introduction to data analysis. Some of the concepts mentioned here needs much more explanation.

Great course with great classes. The exercises are not complex which makes the practical part less good.

Overall coerce is good. Just the algorithm explained at last weeks need to be more simple explanation,

It was a good course. Learnt a lot of statistics and how to implement them in python from this course.

Would be better if some underlying theory of advanced topics is covered, such as Ridge Regression etc.

It would be good if there were more practice opportunities. Overall a good class for familiarization.

week5-6 labs were tough for writing own code and for understanding. However for awareness, it was OK.

It is a good course but -1 star because many typos/errors/unclear tasks in the assignment submission.

Very good course! I just missed more deep content as optional reading in Ridge, Grids and Pipelines.

Muy buen curso y muy buenos laboratorios! SIn embargo a veces no explican la teoría tan al detalle.