LM
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Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.
AB
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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.
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 2, 2019
This was a very challenging course. Some concepts were difficult to grasp and required additional research
By Mark F
•Apr 8, 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 Katherine L
•Jun 5, 2022
coursework was easy but that damn final assignment was absolute hell for no reason whatsoever
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 Syed I B S A
•Jun 10, 2021
Worst course in the IBM Data Analyst Professional Certificate. Very badly explained.
By ekta s
•Mar 1, 2023
too many advanced math concepts used but no explanation of any of them.
By Sahar A
•Oct 3, 2021
it was too fast and I didn't understand a lot of things
By Jen E
•Jul 31, 2019
So many problems with the lessons and the final project.
By TOUIL M
•Sep 4, 2024
Something is off with the assignments of this course
By Rasmi D
•Jun 18, 2019
very high level... topics not covered in depth
By Ahmed E
•Aug 8, 2020
some commands are not fully explained.
By Pradeep Y
•Dec 16, 2021
it is very easy courses
By Jonas T
•Apr 21, 2023
Needs Improvement.
By RAHUL P
•Nov 19, 2023
good
By 121910319041 M P
•Apr 8, 2022
good
By Willy O M
•May 19, 2023
A lot of improvement and updates must be done, it's really poorly explained and definitely not for beginners , if i put put myself in a beginner's shoes there is no way i would understand this. 90% of the LABs have issues or not working, getting help from support is a nightmare. This is definitely not how to teach people with zero knowledge, they won't make. I hope that you will take your time and improve it this time because so many people already left 1 star reviews from years ago but still no improvement. I even wonder how this got a 4 stars rate.
By Sébastien F
•May 25, 2022
This is the 7th of the 10 modules of IBM data science certificate :
What is Data Science? Tools for Data Science Data Science Methodology Python for Data Science, AI & Development Python Project for Data Science Databases and SQL for Data Science with Python ==> Data Analysis with Python Data Visualization with Python Machine Learning with Python Applied Data Science Capstone
A very dense module, specially the week 5. Labs are confuse and should be reviewed and restructured.
By far the most important module for now, and unfortunately the worst too.
By Diogenes C
•Jun 3, 2021
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.