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.
Course is flawless but when i had a technical challenge the Coursera team were clueless on how to fix it.
por akash t•
Few of the video requires improvement in terms of its quality. Particularly the lectures corresponding to week 4 and 5
por Teofilo E d A e S•
Too complex for easy understand. Should have some documentation explaining the process and comparing the new methods.
por Vrinda M K•
Topics covered are important but videos end abruptly as if narrator was saying something more and video just ended
por Marc T•
why is sharing of the notebook worth 3 points? That has absolutely nothing to do with python or data analysis!
por Abhishek K•
Model creation and analysis part are too short, should have more details to understand the concepts better.
por S A•
This course seems to have an exponential increase in a learning curve. It seemed to be all over the place.
por Ramakrishna B•
More explanations would be great. Its very difficult to understand Data exploration / evaluation sections
por Camilo P T•
Creo que le hace falta unas guías, toda la información se da por videos. Recomendado para principiantes.
por Kenneth S•
As always, the final project always ruins good courses. LAZY design of the projects is unacceptable.
por Bjoern K•
Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help
por Nadeesha J S•
I would like to see a final project in this course. It will encourage the learners to do more work.
por Edward S•
The week 4 lab had issues with pipelines and did not function well and the final exam locked up.
por Miguel V•
Needs more information on statistical tests. Specifically, when to use one model over another.
por Poorna M•
Videos in this section could be little more descriptive. It was not in the pace of a beginner.
por Nathan P•
It was cool to see the stuff at work but I need more hands on practice to really learn stuff.
por Varun V•
This looks good for experienced but not the best of course for beginners/intermediate level.
por Connor F•
when it got to model development it got too complicated too fast. The first half was great.
por Badri T•
Lots of good concepts. However, too complicated and could have been explained a bit more.
por Jesse Z•
For such a important topic, it seems like the videos sped through some essential topics.
por Debra C•
Course was worthwhile for general understanding of what can be accomplished with Python.
por Mil Á•
Exelent training to get familiar and intruducing to Python capabilities and programing
por Xinyi W•
Superfacial level of Python while being not very through on the data analysis methods.
por Ana C•
Goes to fast in some aspects, the theory is completely missing in this course
por Sathiya P•
Nicely thought, but I felt concepts like Decision trees, Random forest were missing