I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
por DILEEP S•
This course has really helped me boost my confidence levels in handing data with Python. Thanks for the instructor.
por JAVIER A P S•
Muy acertado en los temas tratados, agregaron al final del curso los subtitulos en español por lo que se agradece.
por Collin C•
Well organized topics with pretty sufficient instruction. The more advanced coding only got a cursory explanation.
por Marco S S•
Very good course, it goes straight into the useful tools and concepts in regards to data analysis and prediction.
por Juan L S•
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.
por Amit K S•
The videos are bit faster. It would have been better if it was done by some real teacher rather than voice over.
por Harjit S G•
use of names was a bit confusing at times compared to final assignment, but otherwise very helpful and enjoyable
por Jeremy G•
This course should come after the Data Visualization with Python course in the Professional Certificate program
por Lida X•
Maybe a bit too fast for those who are not familiar with various kinds of regressions...
Other parts are great!
por Arhiliuc C•
Interesting course, but there are some moments when they give an interesting idea, but not the implementation.
por CAMILO A P Q•
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.
por Deepak P•
The Content was really good but some topics are explained in very short.
But Thanks for this awesome course!
por Kerem B•
The difficulty level of this course goes up very dramatically and it took me very long time to understand.
por Jesús G A S•
Best course in the specialization so far. An introduction to the statistical concepts could be beneficial.
por Angam P•
Very good introduction to data analysis. Some of the concepts mentioned here needs much more explanation.
por Jonathan P d A•
Great course with great classes. The exercises are not complex which makes the practical part less good.
por Akshay S•
Overall coerce is good. Just the algorithm explained at last weeks need to be more simple explanation,
por Rajeev P•
It was a good course. Learnt a lot of statistics and how to implement them in python from this course.
por Henry, H C T•
Would be better if some underlying theory of advanced topics is covered, such as Ridge Regression etc.
por Nicholas F•
It would be good if there were more practice opportunities. Overall a good class for familiarization.
por SHALIN S•
week5-6 labs were tough for writing own code and for understanding. However for awareness, it was OK.
por Viwan J•
It is a good course but -1 star because many typos/errors/unclear tasks in the assignment submission.
por Vicente C L F•
Very good course! I just missed more deep content as optional reading in Ridge, Grids and Pipelines.
por Juan D M G•
Muy buen curso y muy buenos laboratorios! SIn embargo a veces no explican la teoría tan al detalle.