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.
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.
By ubaid m w•
Oct 22, 2018
In lab there are many funtion , libiraries Which have been used first time with out any description , then I have to search for each and every funtion or lib which is way time consuming which make this course worst courses in my list.
By jitao f•
May 02, 2019
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 ).
By Zackary M•
Oct 30, 2019
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.
By Brahmrysti A B•
Jun 02, 2020
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.
By Utkarsh S•
Jun 25, 2020
The course was quite good until Week 3 but after that it was poorly structured. A lot of concepts were randomly introduced without proper explanation in Week 4 and Week 5, thereby killing the fun of learning.
By Ashish D•
Dec 22, 2019
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.
By Steve H•
May 19, 2020
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.
By D W•
Aug 17, 2019
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).
By Aaron C•
Jul 15, 2020
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.
By Berkay T•
Sep 27, 2019
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.
By Sheen D•
Aug 11, 2019
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.
By Michael M•
Dec 20, 2019
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.
By Ismael S•
Jun 02, 2019
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
By Malcom L•
Jan 11, 2019
more hands on, project based/game based learning. Mindlessly watching videos and regurgitating code in the labs can not be the only way.
By Santanu B•
Apr 16, 2019
Not a great course. Sometimes it is too fast and the explanations are very short. More hands on exercises would have been more helpful.
By Rajesh W•
Oct 17, 2018
There are plenty of mistakes in the videos and in the lab session as well. Hope you guys can clear out those.
By Wayne W M•
Oct 02, 2019
This was a very challenging course. Some concepts were difficult to grasp and required additional research
By Mark F•
Apr 08, 2020
Frustrating when the peer reviewer doesn't actually understand Python and deducts marks for correct code.
By Hunter I•
Apr 17, 2020
Leaned some, but not a whole lot of real-world application, I recommend people take Python courses more
By Ashwin D•
Apr 29, 2020
Not enough hands on problems, including variety and volume. Expected more from an IBM program.
By Nathaniel S•
Mar 29, 2020
Don't spend your money on IBM Data Science Cert. Course labs are full of bugs and not working.
By Edwin S J•
May 25, 2019
Suddenly introduced complex codes and statistical functions. Videos were way too fast.
By Somak D•
Oct 30, 2018
moderators do not respond to questions raised in forum. leading to incomplete learning
By Jen E•
Jul 31, 2019
So many problems with the lessons and the final project.