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.
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.
교육 기관: Marc T•
Feb 03, 2020
why is sharing of the notebook worth 3 points? That has absolutely nothing to do with python or data analysis!
교육 기관: Abhishek K•
Aug 26, 2019
Model creation and analysis part are too short, should have more details to understand the concepts better.
교육 기관: Sarah s•
Jan 02, 2019
This course seems to have an exponential increase in a learning curve. It seemed to be all over the place.
교육 기관: Ramakrishna B•
Jun 19, 2019
More explanations would be great. Its very difficult to understand Data exploration / evaluation sections
교육 기관: Camilo P T•
Jun 15, 2020
Creo que le hace falta unas guías, toda la información se da por videos. Recomendado para principiantes.
교육 기관: Kenneth S•
Jan 13, 2020
As always, the final project always ruins good courses. LAZY design of the projects is unacceptable.
교육 기관: Bjoern K•
Jun 14, 2019
Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help
교육 기관: 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.
교육 기관: Edward S•
Aug 02, 2020
The week 4 lab had issues with pipelines and did not function well and the final exam locked up.
교육 기관: Poorna M•
Jun 24, 2020
Videos in this section could be little more descriptive. It was not in the pace of a beginner.
교육 기관: 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.
교육 기관: Varun V•
Dec 19, 2018
This looks good for experienced but not the best of course for beginners/intermediate level.
교육 기관: Connor F•
Mar 28, 2020
when it got to model development it got too complicated too fast. The first half was great.
교육 기관: BT•
May 28, 2019
Lots of good concepts. However, too complicated and could have been explained a bit more.
교육 기관: Jesse Z•
Jun 05, 2019
For such a important topic, it seems like the videos sped through some essential topics.
교육 기관: Debra C•
Mar 24, 2019
Course was worthwhile for general understanding of what can be accomplished with Python.
교육 기관: Chau N N H•
Jan 29, 2020
The lesson need more explanations on Polynomial Regression, Pipeline, Ridge Regression.
교육 기관: Miguel A I B•
May 13, 2020
Exelent training to get familiar and intruducing to Python capabilities and programing
교육 기관: Xinyi W•
Jan 26, 2020
Superfacial level of Python while being not very through on the data analysis methods.
교육 기관: Ana C•
Jun 11, 2019
Goes to fast in some aspects, the theory is completely missing in this course
교육 기관: Sathiya P•
Aug 27, 2019
Nicely thought, but I felt concepts like Decision trees, Random forest were missing
교육 기관: Rosana R M•
Aug 13, 2019
The course is too long. The material should be divided and explained more detailed.
교육 기관: Amanda A•
Apr 17, 2020
There were many typos in the labs which made it difficult to understand at points.
교육 기관: Juan S A G•
Aug 21, 2020
very simple exercises which does not help to learn altough videos were exeptional
교육 기관: Mohsen R•
Jun 17, 2020
The course does not explain the processes enough, there should be more examples.