Comentários e feedback de alunos de Análise de dados com Python da instituição IBM
Sobre o curso
Melhores avaliações
RP
Apr 20, 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
May 06, 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.
1451 — 1475 de 1,576 Avaliações para o Análise de dados com Python
por Camilo P T
•Jun 15, 2020
Creo que le hace falta unas guías, toda la información se da por videos. Recomendado para principiantes.
por Kenneth S
•Jan 13, 2020
As always, the final project always ruins good courses. LAZY design of the projects is unacceptable.
por Bjoern K
•Jun 14, 2019
Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help
por Nadeesha J S
•Apr 11, 2019
I would like to see a final project in this course. It will encourage the learners to do more work.
por Poorna M
•Jun 24, 2020
Videos in this section could be little more descriptive. It was not in the pace of a beginner.
por Nathan P
•Jan 02, 2020
It was cool to see the stuff at work but I need more hands on practice to really learn stuff.
por Varun V
•Dec 19, 2018
This looks good for experienced but not the best of course for beginners/intermediate level.
por Connor F
•Mar 28, 2020
when it got to model development it got too complicated too fast. The first half was great.
por BT
•May 28, 2019
Lots of good concepts. However, too complicated and could have been explained a bit more.
por Jesse Z
•Jun 05, 2019
For such a important topic, it seems like the videos sped through some essential topics.
por Debra C
•Mar 24, 2019
Course was worthwhile for general understanding of what can be accomplished with Python.
por Chau N N H
•Jan 29, 2020
The lesson need more explanations on Polynomial Regression, Pipeline, Ridge Regression.
por Miguel A I B
•May 13, 2020
Exelent training to get familiar and intruducing to Python capabilities and programing
por Xinyi W
•Jan 26, 2020
Superfacial level of Python while being not very through on the data analysis methods.
por Ana C
•Jun 11, 2019
To short
Goes to fast in some aspects, the theory is completely missing in this course
por Sathiya P
•Aug 27, 2019
Nicely thought, but I felt concepts like Decision trees, Random forest were missing
por Rosana R M
•Aug 13, 2019
The course is too long. The material should be divided and explained more detailed.
por Amanda A
•Apr 17, 2020
There were many typos in the labs which made it difficult to understand at points.
por Mohsen R
•Jun 17, 2020
The course does not explain the processes enough, there should be more examples.
por Maciej L
•May 16, 2019
Too many complicated things happening at once. It is hard to digest and follow.
por Tomasz S
•Nov 19, 2018
Few small hiccups with the training videos and quite a few in the lab-excercise
por Steven B
•Jun 04, 2020
Overall I felt it was not broken down very well and seemed confusing at time.
por Pierre-Antoine M
•Feb 19, 2020
Videos are nice but they are mistakes in the notebooks that disturbs learning
por Toan N
•Mar 27, 2020
The lab is disconnected every so often that can't complete it smoothly.
por Jessica B
•Jun 14, 2019
Good content, but lots of typos. The outsourcing is extremely evident.
