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.
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.
创建者 jitao f•
The content of this course is too basic. Though it provides enough knowledge to start a practice. No 0 to 1 but more like 0 to 0.1. And Forum support is terrible. Can't really answer my question( don't even think they have read it ).
创建者 Zackary M•
The topics are great, but the content is pretty terrible. The questions are incorrectly formatted and hard to understand. It would be nice if someone reviewed these before they make them live and you have to pay for them.
创建者 Brahmrysti A B•
A lot of mistakes here. Clearly rushed and not given the care and attention it needed. Some assignments REQUIRE you to go to the discussion board to figure out what the author intended and why your code isnt working.
创建者 Ashish D•
Does the job of a good introduction.
Very limited and restrictive practice and assinments.
For a true learning experience one needs to do a lot of external research and work to show a measureable benifit.
创建者 Steve H•
The content is good but there are a lot of mistakes and typos in the material. The peer review is extremely vulnerable to errors - only one person reviewed my assignment and gave me the wrong mark.
创建者 D W•
Useful course but riddled with typos & inconsistent questions and answers. Needs a proper review by someone (probably not the people answering on the forums, who didn't seem especially clued up).
创建者 Aaron C•
The videos really are not very engaging (relative to any other course that I have completed here on Coursera). The concepts are not explained very thoroughly. Thanks anyway guys.
创建者 Berkay T•
Too much content, so less practice. This course doesn't teach anything that you can make use of in the long term. It only gives an idea on what you have to work on in the future.
创建者 Sheen D•
This is by far the worst course in the specialization. So many mistakes in the lab session, including unclear instruction, or syntax is not uniform across each module, and etc.
创建者 Michael M•
The IBM Developer Skills Network (at labs.cognitiveclass.ai) is very slow and doesn't work most of the time.
It doesn't allow to finish the course properly.
创建者 Ismael S•
Content is thrown to the student with too much information and videos of only 3-4 minutes. Too much to absorb and too little to practice properly
创建者 Malcom L•
more hands on, project based/game based learning. Mindlessly watching videos and regurgitating code in the labs can not be the only way.
创建者 Santanu B•
Not a great course. Sometimes it is too fast and the explanations are very short. More hands on exercises would have been more helpful.
创建者 Rajesh W•
There are plenty of mistakes in the videos and in the lab session as well. Hope you guys can clear out those.
创建者 Wayne W M•
This was a very challenging course. Some concepts were difficult to grasp and required additional research
创建者 Mark F•
Frustrating when the peer reviewer doesn't actually understand Python and deducts marks for correct code.
创建者 Hunter I•
Leaned some, but not a whole lot of real-world application, I recommend people take Python courses more
创建者 Ashwin D•
Not enough hands on problems, including variety and volume. Expected more from an IBM program.
创建者 Nathaniel S•
Don't spend your money on IBM Data Science Cert. Course labs are full of bugs and not working.
创建者 Edwin S J•
Suddenly introduced complex codes and statistical functions. Videos were way too fast.
创建者 Somak D•
moderators do not respond to questions raised in forum. leading to incomplete learning
yOU DEFINITELY NEED SOME BASIC PROGRAMMING BACKGROUND. i FOUND IT TOUGH
创建者 Jen E•
So many problems with the lessons and the final project.
创建者 Rasmi D•
very high level... topics not covered in depth