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.
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.
von Cláudia S B•
The artificial voice used over the video is truly awful for learning. I enjoyed the jupyter notebooks where I actually could learn what was bla-bla-blaed in the videos
von 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.
von 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
von Archana B•
Model Development and Model Evaluation & Refinement Concepts are not explained properly neither in Videos nor in Lab!!Really disappointing :(
von Tarun S•
Concepts of the algorithms are unclear. In the notebooks as well, it is not in a flow. Very confusingg for a beginner to learn from this.
von 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.
von 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.
von Rajesh W•
There are plenty of mistakes in the videos and in the lab session as well. Hope you guys can clear out those.
von Wayne W M•
This was a very challenging course. Some concepts were difficult to grasp and required additional research
von Mark F•
Frustrating when the peer reviewer doesn't actually understand Python and deducts marks for correct code.
von Hunter I•
Leaned some, but not a whole lot of real-world application, I recommend people take Python courses more
von Ashwin D•
Not enough hands on problems, including variety and volume. Expected more from an IBM program.
von Nathaniel S•
Don't spend your money on IBM Data Science Cert. Course labs are full of bugs and not working.
von Edwin S J•
Suddenly introduced complex codes and statistical functions. Videos were way too fast.
von Somak D•
moderators do not respond to questions raised in forum. leading to incomplete learning
von S I A•
Worst course in the IBM Data Analyst Professional Certificate. Very badly explained.
von Jen E•
So many problems with the lessons and the final project.
von Rasmi D•
very high level... topics not covered in depth
von Q B M•
some commands are not fully explained.
von Javier M•
The content is solid. However, the labs which are the best tools of this course because they allow you to actually do the exercises and go deeper in the concepts are not working. It has been like that for some weeks.
I contacted support and I saw in the course forum lots of people complaining about it but either Coursera or IBM don't seem to care. No answer from them for weeks. I had to dig into forums in the Internet to find alternative solutions to access the labs... which was a waste of time considering that I'm not auditing but paying for this course.
So terrible customer experience, that's why I put one star.
von Srikantha R•
Definitely NOT for beginners. No proper explanation of basic concepts. The instructor assumes that all students knows everything and they just explaining python formulas without giving basic concepts on data analysis or statistics. If one has to complete this course only for the sake of certification, one must get the basics right with free online materials and then only can enroll for this so called 'BEGINNER' course to get certificate. I am cancelling my subscription and can learn on my own with free and better online materials
von Diogenes C•
Once again, the course forces you to use IBM Cloud, a service which on its free version is completely unreliable.
If you want to learn python, I suggest any other resource on the internet, in which you will spend your time learning to code, instead of dealing with the problems of using IBM Watson Studio. Or if you're looking to validate your knowledge, I also suggest looking for any other course, and not IBM's.
von Matthew A•
During the 4th week of the course, lots of important information and explanations are over summarized and in some cases skipped over. Learning tools outside of what is provided in the course or a decent understanding statistics is required in order to be successful in this course.
von Hu W J•
0 effort put. could not even bother to get someone to talk to a screen. lessons were robotic, i might as well have just read a book on this and could probably understand better. disappointing.