The syllabus of the course takes you in a roller-coaster ride.\n\nFrom basic level to advance level and you won't feel any trouble nor hesitate a bit.\n\nIt's easy, it's vast, and it's really usefull.
it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.
By Ahmed H•
the questions given in the final project are not covered by the course materials
By Abhishek G•
As the name says, "Python For Data Science and AI", but to be honest, it covers very little learning materials related to data science and even lesser for AI. Every week it makes you sign up for IBM Watson Studio. The worst part is in the final assignment, you are not judged for your ability to write python codes, it judges you on sharing your IBM Watson studio link. The level of the final assignment was quite low as it should have been.
I don't understand why can't we do the same assignment somewhere else. How this low-level assignment be a part of a specialization course? And the slides demonstrating the procedures of IBM Watson Studio is outdated. This must be improved.
By Alvaro F V•
The course covers the content taught in a very superficial manner.
I do not think that after completing this course anyone is able to use python for anything really. The course does do a decent job of introducing you to the very basic principles. It simply was not what I expected.
The time estimates are way inflated. This course can be completed in 1 week.
The final assignment is not at all challenging. The course makers provide the code that does the hard part.
The final assignment's instructions are outdated (screenshots are), unclear and could defenitely be polished for clarity. It's evident that the course makers have not QAed their course recently at all.
By Andrew O•
Honestly this course isnt very good. Lightning quick wizz through Python and the final test was barely related to the learning materials. The process of test submission is very poor.
I think this course overall reflects badly on IBM.
By Adekunle A•
Python Course was informative and actually ok, finished in 4 days.
HOWEVER, it then took 2 weeks to sort out "IBM issues" before I could submit coursework!!
By Sebastian S•
Really dry, and the external tool they want to use gave me a "502 Bad Gateway" response. So I guess I'm not completing this course.
By Mark B•
Too many cloud issues...
By Saumitra K V•
I would not recommend this course for someone who is completely new to python or programming in general, even though this is a beginner level course. Not only is the course content riddled with typos, but the text following the videos do not match at times making it hard for someone like me (a complete novice to programming) to understand the flow. There are other courses on python and data science out there that one could start with and get familiarised with the terminology first, and then sign up for this one.
Working with Jupyter workspace and IBM Cloud was also not very user friendly. There were constant errors on bucket names and endpoints while running the code, which left me confused on what was happening (I believe this was the case with other users in the course as well, as seen from the discussion threads for Week 5).
For instance, the tutorial IBM Object Storage does not clearly state which endpoint to use. For my project I ended up using an endpoint that was created in my credentials inside the JSON object. Due to this my code always gave an error. As it turns out, the correct endpoint to be used was listed elsewhere under IBM Cloud, but this was not clearly explained. I had to check with the course instructors to resolve the issue. I must say that the course instructors were very helpful in answering my questions and clarifying all my doubts promptly. I appreciated that.
In conclusion, this course is not for someone who does not have any background on programming. Get some basic experience first before coming to this one.
By Thinh N•
The course is kinda helpful. But please, stop using peer-review assignment. I always get deducted by some stupid or careless guys for NO SINGLE REASON! When you ask some naive students to grade another, they never give the full marks even there is no flaw in the assignment, just because they are not sure at all about any thing! Tbh, I'm kinda perfectionist. I tried my best to target 100% on every thing then finally got stuck because of others' stupidity. That made me pissed off about the whole thing that I am working on. :(
By MICHAEL A W T•
Course is poorly organised, even the lines of code input by default in the final assignment have issues running, not to mention that the whole project needs IBM cloud/platform support, something students do not agree to before hand.
On forums, you may see the amount of problems and difficulties of this "course", none from the IBM team replies.
Sorry, I will not be recommending this to anyone.
By Jonathon M•
The instructions for the last assignment are absolute garbage and the last project as a whole is mostly a waste of time when it comes to learning Python and data science. Despite errors and use of depreciated functions, the course was otherwise great but the last project's instructions and overall design is awful enough to undo the rest.
By Derek A•
Horrible. Forced to use IBM Cloud and IBM Watson for assignments. Typos in instructions and not enough information in Week 5 material. Very poorly organized and i would not recommend this course because of how much time I had to spend trouble-shooting IBM Watson/Cloud which I have no intention on using.
By Ahmed N•
The course content is very good until you get to the final peer graded assignment which is very unclear what to do and how to tackle and you're left alone to tackle a ton of errors that are mostly irrelevant to what you're learning
By mike g•
Super fast and the examples don't help for the final lab. The final lab is extremely difficult and there is almost no support or guidance to help you with it. Waste of time. I could have paid for a better python course.
By Mikhael R•
Do not waste you money. There is no even a place to ask question if you are not sure. They create a forum which is totally useless as nobody answers your questions when you stuck!
By Rishi R•
I have wasted a lot of time in learning how to save and upload the data on ibm platform rather than actually learning python. There should be other methods to submit our work.
By Jose M S•
You take more time trying to get to work the IBM products than actually learning python. This is specially salient in the peer-graded assingment
By Patrick P•
Looks like it was made by an intern. Unclear instructions and terrible video quality.
By Wesley v W•
No way someone without Python experience writes the final assignment code unassisted.
By Azat G•
I think it is very good course to start data science with python. Modern methods and python libraries for data manipulation are included.
But as course was first created at 2017, there are some small parts of IBM Cloud setttings has been changed. This makes misunderstanding at week 4, then you need to use cloud servises.
Fortunately I understood that services became simpler. But I ask creators to fix the "creating project" part.
By Ioana B•
Very good course, you can gain a lot of knowledge through well explained videos and labs.
One small issue though. There's a reference in the final Lab to a tutorial called PROVISIONING AN OBJECT STORAGE INSTANCE ON IBM CLOUD. This tutorial was not previously mentioned at all throughout the course.
By Khaing W S•
this is the touch week for me cos there is getting trouble in creating storage , bucket and credential on ibm cloud. Finally I passed the steps and got the certification. Actually very experience week.
By Deleted A•
The course was indeed helpful to learn Python, made it very simple. Though the final test had question which was not very detailed - like I was not clear where to get the GDP data for US etc.
By Stephen S•
With MATLAB being my programming fluency, Python was very confusing at times.
This was the course I needed to explain the most common data types in python in a clear and very concise manner.
By Lakshminarayana D•
Great Learning Experience. Syllabus structure is great to learn python program, algorithms, connecting database and retrieving the records using data frame. Thanks to the professor.