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.
Feb 13, 2020
Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.
por 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!
por Abhishek K•
Aug 26, 2019
Model creation and analysis part are too short, should have more details to understand the concepts better.
por 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.
por Ramakrishna B•
Jun 19, 2019
More explanations would be great. Its very difficult to understand Data exploration / evaluation sections
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 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.
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 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
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 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 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.
por Arjun S C•
Aug 14, 2019
Lots of bugs and errors. No instructors reply on the discussion forum.
por Filippo M•
Sep 27, 2019
Useful course, but the IBM online platforms are not working well.