Opiniones y comentarios de aprendices correspondientes a Análisis de datos con Python por parte de Habilidades en redes de IBM
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Principales reseñas
RP
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.
SC
5 de may. 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.
2276 - 2300 de 2,449 revisiones para Análisis de datos con Python
por Sarah s
•2 de ene. de 2019
This course seems to have an exponential increase in a learning curve. It seemed to be all over the place.
por Sara J H
•6 de ene. de 2023
Will be easy if you have prior experience with Python/statistics. I don't and I didn't learn much at all.
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 ene. 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 ene. 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 dic. 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 may. 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 Miguel A I B
•13 de may. de 2020
Exelent training to get familiar and intruducing to Python capabilities and programing
por Xinyi W
•26 de ene. de 2020
Superfacial level of Python while being not very through on the data analysis methods.
por Ana C
•11 de jun. de 2019
To short
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 Ros 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 Nafsika G
•1 de nov. de 2022
It was a good course but maybe a little too easy with all the prompts provided.
por Mohsen R
•16 de jun. de 2020
The course does not explain the processes enough, there should be more examples.
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