19 de abr de 2019
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.
5 de mai de 2020
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.
por Ramakrishna B•
19 de jun de 2019
More explanations would be great. Its very difficult to understand Data exploration / evaluation sections
por Camilo P T•
15 de jun de 2020
Creo que le hace falta unas guías, toda la información se da por videos. Recomendado para principiantes.
por Kenneth S•
12 de jan de 2020
As always, the final project always ruins good courses. LAZY design of the projects is unacceptable.
por Bjoern K•
14 de jun de 2019
Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help
por Nadeesha J S•
11 de abr de 2019
I would like to see a final project in this course. It will encourage the learners to do more work.
por Edward S•
2 de ago de 2020
The week 4 lab had issues with pipelines and did not function well and the final exam locked up.
por Miguel V•
12 de nov de 2020
Needs more information on statistical tests. Specifically, when to use one model over another.
por Poorna M•
24 de jun de 2020
Videos in this section could be little more descriptive. It was not in the pace of a beginner.
por Nathan P•
1 de jan de 2020
It was cool to see the stuff at work but I need more hands on practice to really learn stuff.
por Varun V•
18 de dez de 2018
This looks good for experienced but not the best of course for beginners/intermediate level.
por Connor F•
27 de mar de 2020
when it got to model development it got too complicated too fast. The first half was great.
por Badri T•
28 de mai de 2019
Lots of good concepts. However, too complicated and could have been explained a bit more.
por Jesse Z•
5 de jun de 2019
For such a important topic, it seems like the videos sped through some essential topics.
por Debra C•
24 de mar de 2019
Course was worthwhile for general understanding of what can be accomplished with Python.
por Mil Á•
13 de mai de 2020
Exelent training to get familiar and intruducing to Python capabilities and programing
por Xinyi W•
26 de jan de 2020
Superfacial level of Python while being not very through on the data analysis methods.
por Ana C•
11 de jun de 2019
Goes to fast in some aspects, the theory is completely missing in this course
por Sathiya P•
27 de ago de 2019
Nicely thought, but I felt concepts like Decision trees, Random forest were missing
por Rosana R•
12 de ago de 2019
The course is too long. The material should be divided and explained more detailed.
por Amanda A•
16 de abr de 2020
There were many typos in the labs which made it difficult to understand at points.
por Juan S A G•
20 de ago de 2020
very simple exercises which does not help to learn altough videos were exeptional
por Mohsen R•
16 de jun de 2020
The course does not explain the processes enough, there should be more examples.
por Maciej L•
16 de mai de 2019
Too many complicated things happening at once. It is hard to digest and follow.
por Tomasz S•
19 de nov de 2018
Few small hiccups with the training videos and quite a few in the lab-excercise
por Craig S M•
21 de mar de 2022
It ok. Some parts of the course were bare bone. I liked the hands on sections.