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 Andres F•
Some exercises in the Labs are definitely not for beginners, especially during week 3 and 4. The course does not give you enough resources to be able to resolve those exercises and only gives you the answer, which is rather advanced and involves knowledge from outside this course.
Apart from that, the course is fine, but that experience might be a bit disappointing for someone who is just starting with Python.
By Maria P•
Weeks one to four are good. Week 5 is full of mistakes. You lose a lot of time for correcting stuff instead of actually learning them. The assignment takes double time just because of the corrections in the given instructions. The data that you have to load in order to complete the assignment are in the wrong address! More examples and coding should be included in week 5.
By Carl-Michael E•
This course wasn't bad exactly. The videos are very good, but the tutorials are a waste of time. One doesn't practice any of the skills learnt so it isn't reinforced.
It would be FAR more effective to have it as a semi-interactive course, where you learn something, then apply it immediately.
By Sivachandra V•
The assignment is so bad that I had to waste at least 1 hour of time just to figure out why the picture was not changing despite me saving it correctly. I restarted the machine after an hour of research and then it got resolved. THe notebook also behaves weird.
By Kirran R M R•
Course is not very well structured.
Using IBM cloud and Watson is a waste does not pertain to this course
You learn very little and its half baked.
Last week seems so rushed feels like a cut and paste. Missing a lot of details
Would not recommend this course
By Olivia V•
Content is very uneven. Courses range from way too shallow to way too complicated, mistakes in the labs, quizzes questions about subjects that are part of the next chapter... A bit surprising coming from IBM.
By Brett O•
Feel like this is beyond an intro course. A little disappointed, but some material was very helpful in learning about Python, but still thought it was at least a mid-level course.
By Juan F•
The first part of the course is useful and well explained, the last one does not explain enough the contents and, although you will easily pass it, you will not learn much.
By Matthew D•
The tutorial videos don't go as much into detail, I think you should watch/read some additional tutorials and materials to deepen your understanding
By Nathan D C•
While I enjoyed the labs, the videos do not explain the concepts well. They assume you know certain aspects of python, such as syntax and structure.
By Mateus F•
Really basic course.
In my opinion it should have more programming assignments and they should be harder.
By Karel H•
The final exam had nothing to do with the course at all. Very poorly thought out.
very basic .could be little advanced
By Nicole C•
In general, the material is well presented in this course. If you already know Python programming, probably most notions and examples will seem trivial. The labs are really important to gain a deep understanding of the course material. But you won't get to actually write your own code with a very few exceptions (e.g. the urn problem). The multiple choice graded questions most of the time aren't multiple, aren't randomized (thing peculiar for instructors to omit, in an allegedly data science course), are trivial and don't get deep on the programming aspect. The instructors are almost absent with minimal presence in the forums & discussions. Last week's graded assignment is about compiling an already existing code in the jupyter notebook and you will waste a considerable amount of time trying to submit your work via IBM's cloud rather than actually working on the code itself or on understanding the underlying notions and concepts. In summary, this course certainly has a potential and can be improved on various levels (instructors availability, problem solving, etc.), but if you already know programming I believe this course will be of little to no use for you, except if you want to spend some time and money during lockdowns. If you do not, you will probably get a grasp of the basics of Python programming but, in any case, do not expect to improve your problem solving skills. Nevertheless, if you combine this course with a personal involvement in solving programming problems via Python it will could be beneficial, however I am not sure if it's worth the money.
By John G•
I am a beginner in Python. This course covered a lot and I understand a lot more now. However, there were always steps and explanations missing. The labs were basically clear until some of the practice exercises which required a lot of things that were not included in the course. The labs in general, however, were very useful.
As many people wrote, there were so many mistakes in spelling and sometimes even in the code. Shame on IBM for not having someone proofread! Furthermore, this robotic woman never stops and never intonates when something changes on the slides. Presentations were so poor. Were they given to a student as homework to create? I don't have anything against Indians, but did the course really need to be outsourced to India to be created? I am sure that if IBM had run this course with its employees as a trial group, it never would have been released as it is. I'm sure that IBM would not offer this course to its employees. In any case, I am happy that I went through it, but am looking for other courses/resources to actually understand Python.
By Thierry C•
Let's be honest, no one without any experience of programming is going to be an expert by the end of this course. I have learned a lot, yes, but I am far to be a Python programmer even less specialized in Data Science at the end of this. The lessons are very basics with a consistent frustrating exercise at the end of each and every lesson: for some reason, the author assumes that you already know how to program with Python, so the exercise is about something which never ever was even mentioned during the lesson. Some lab exercises are largely outdated as mentioned in one of them: "This lab describes the current version of Language Translator, 2018-05-01" in March 2021... Now, the final assignment was actually the most interesting part of the whole course as data science was actually involved with interesting data even though there was still that frustrating question about something never spoken during the course: finding a value greater than the other in a column.
By Anthony V•
In my opinion, this course goes all over the place. The video lessons are thrown at you too fast, it's hard to grasp anything really, It's not well structured at all..
I was fortunate enough to have some basic Python knowledge before this, so I could get a thing or two.
The final assignment should be greatly rethought, even scrapped for something that actually lets people put their lessons to good use. The last two weeks are spent on methods and some basic data analysis functions, which is good and all of a sudden we are tasked with making faks album covers...
A good improvement would be to create an assignment which lets people practice a lot of things shown in the course, not copy pasting some code and rewriting a function...
By Deanna B•
Disappointed. I started off enjoying this course and was taking the time to fully understand all the concepts of Python. By the second week, JupyterLab was not working and for 3 days I was trying to connect to it, to do my labs. Although I was continuing on the course work, not being able to do the labs was keeping me behind. Others in the discussion forum were concerned about the same issue but I do feel at this stage that someone should be able to notify the group of these issues instead of people wasting time trying to log onto something that has a technical problem. I eventually unsubscribed from my certification as this was not an efficient way for me to study, and was using up too much wasted time!
By Vasily A•
The course is a brief whizz through Python and could be good on its own as a refresher for those who already know the basics of Python, however it is the final assessment that spoils the course - this assessment was probably written by different people who did not see the course itself. It does not test your Python skills, but rather your ability to set up IBM Watson Studio and IBM Cloud Object Storage, which is a pretty fiddly service for the uninitiated. Did I learn anything useful from this assessment? Probably not. There are far better Python courses out there, e.g. check out the one from the Higher School of Economics.
By Joanne C•
Though I do feel like I learned some things from this course, I was not very happy with the way the material was presented. The first half of the labs were great, but the second half was way beyond what was being taught in this course and difficult to follow. I ended up skipping those sections and still did well on the quizzes. I think those portions need to be removed. There were also a few quizzes with answer errors. It took several times of answering the same thing for it to accept it as the correct answer. If I had it to do over again, I would learn Python somewhere else.
By Taz P•
Maybe it's a good introductory course for Python, however, I got an impression that the authors gave up three quarters into the course. The labs become more of a reading material rather than a place where you can practice a hands-on approach. The final assessment - omg, I fail to see any relevance between the course material and what is expected in the final assignment! The only lesson I have learnt from it is that I shouldn't trust online courses to learn a subject.
I would not recommend this course to other people.
By Emma M•
This is described as a beginner's course in Python. In the labs, the examples you are given are basic and easy-to-follow examples that DO make sense. However, then, in the activities, they give you wildly more difficult tasks are nearly impossible to create on your own without looking at the solution while writing the activity's code.
If you would like to have a basic course on Python that will actually train you on how to use it and be more of a staggering difficultly level, I would recommend NOT taking this course.
By Alessio B•
The Coursera's curse hits again. I can't recall an entire specialization in which, at some point, I didn't feel completely lost. In this instance it took 4 courses. I don't know what happened in the 4th week but personally I would have spread the content into 2-3 more weeks, with way more practical exercises and examples.
The final project more or less comes out of nowhere, there is definetely not enough material to face the 4th question (unless you had previous experience with Python).
By Elizabeth S•
This course is a good base, but is really in need of an overhaul. The fundamental pieces are there, but the material is riddled with typos, expectations of reading tutorials that don't exist anymore, and incomplete instructions that leave you in the dark. I wish they would not skip over concepts as they are introduced, but instead give even a short blurb about what it is so that we get used to seeing the more complicated code that is "skipped over".
By Filip C•
I'll start with saying that whoever designed this course knows nothing about how to educate people. Have you tried going though it? The video lectures are read by a voice that sounds like a robot. Also, majority of things taught here have zero context on how we can use them to solve actual data problems. The final exam is a joke, not because the course is good, but because it's objectively speaking easy. Overall, an educational disaster.