Nov 17, 2019
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.
May 16, 2020
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.
By kinjal p•
Jan 15, 2022
By Suryakant S•
Mar 19, 2020
By Anna N•
May 13, 2020
This course is.... odd.
It's a jumbled mess of videos read in robot voice, "labwork" which is "optional", and way too easy to complete (many of them just involve hitting shift+enter over and over again)... assuming that you can get the lab to load in the first place, quizzes which insult your intelligence with how easy they are, one random module (APIs) which is WAY WAY more complicated than anything else in the class, and a final assignment that's surprisingly a nice review of the class. I actually had to go back and re-watch the videos to complete it. However, everything I needed WAS in the videos.
And here's the weird thing: all the nonsense about setting up IBM Watson, IBM Cloud Services, IBM Speech to Text, IBM Translator, IBM... (you get the point, you will sign up for a TON of IBM services, and then have to figure out how to get them to work together)... is probably the BEST part of the class.
You can learn Python lots of places (and you should. Please don't count on this class to teach you Python. Go to codecademy fer cryin' out loud.) But where else are you going to get hands on time working through frustration and technical problems getting IBM Cloud services to work? The course doesn't always hold your hand on basic things like getting the labs to load. Yeah, that's awesome. You'll HAVE to learn how to use the tools.
Please don't take this class if you never ever plan on using IBM again in your life. But if you are thinking of applying to any job that uses the IBM platform, this course is money.
But yeah, the python part sucks. There's better and cheaper pretty much everywhere on the internet.
By Christine M•
Nov 29, 2021
Great course! However I feel I must give it only 3 stars because the website used for the labs is consistently not working and my course was delayed several weeks because of this. The labs are crucial to passing this course and understanding this material, so it is a significant inconvenience when the labs aren't working. Communication about the labs not working was not ideal either. I would expect that coursera or the instructor would send an email instructing students on what to do during the outage to continue but there was no communication or work around while the lab environment was down. If you decide to take the course be forewarned that this might happen to you and the course might be delayed several weeks and there will be little that you can do to get the information. The videos are not quite as helpful in this course as they were in the other courses. The real learning in my opinion happens in the lab and that isn't reliable at all. You need to watch the videos to pass the quizzes and the quizzes are extremely easy if you do this.
By David M•
Apr 29, 2022
As a course with "many cooks in the kitchen", there is naturally the good, the bad, and the ugly. Ultimately, this course accomplishes its goal - student learning and preparation for advancement. However, I encountered many inconsistencies, discrepancies, and apparent poor assumptions made about the learner along the way. From an educational perspective, certain approaches in the various labs could benefit from refinement after careful consideration of the most effective methods for student learning. From a product perspective, there is much to polish for this to be truly worthy of a company like IBM (ie, spelling, punctuation, and grammer). Perhaps putting this to a qualified technical writer would help to realize its full potential. In any case, I'm happy to have taken this course and would nevertheless recommend it to those who want/need to learn about Python.
By Leslie C•
Apr 24, 2020
I found this course to be very educational a great resource for becoming familiar or reviewing python and applying it to the Data Science framework for basic visualization. I would, however, recommend taking other basic Python courses first because the labs don't review the language well and rush through them in the videos. It can be difficult to understand the labs and really get the full benefit of the course without having some python knowledge coming in.
I would also recommend more interactive questions and coding in the labs. The labs didn't fully reinforce the lesson or apply the concepts learned in the videos. Towards the end of the course, there were no quizzes for the labs (Pandas, Numpy arrays, etc), and I found that I struggled in the final project because of the lack of application.
By Chris O•
Dec 14, 2018
Take this review with a grain of salt. Let me start by saying I do not have experience programming and the course does recommend Python experience before enrolling.
I found the videos hard to follow, as there was no clear outline or natural flow to how the information was presented. The presenter spoke too fast and there was no time to digest the information before moving on to the next subject. I found myself pausing the video constantly and referring to the transcribed text below the video. That being said, the workbooks were terrific and seemed to cover almost everything in presented in the videos. For the final project, I found myself googling how to perform certain functions in Python, because I couldn't find examples to a lot of the code in the very detailed notes that I took.
By MATTHIAS D•
Jun 15, 2020
Most of the lessons are clear, easy to understand and interesting. It's the positive things for me.
Now, the negative ones:
-The lessons about API (even more part 2) are difficult to understand and not seems to be a beginner level.
-Most of the exercise of the lab are the same examples that you can find in the lesson's video and it's redundant and not usefull (it should be better other examples and real exercises with real python program to write since the beginning to the end).
-You have to create some IBM clouds account. More than, you lose a lost of time because a lot of things are not clearly explain (i'm thinking to the last optional part of the exercise of week 5)
To resume, it's a good training, but you can find better (for example the ones of the university of Michigan)
By Mayra Q•
Jun 6, 2019
It's definitely packed with a lot of information and the labs were actually really helpful to understand concepts. Would have loved to see more real-world case studies using larger data sets vs some of the watered down examples we got. The final module and assignment could definitely be improved. Although I took copious notes, I found that some commands needed were never reviewed/ reviewed well enough, and I had to do some extra research online in order to complete the assignment (Python cheat sheets etc). In the future, maybe a module in building dashboards with practice would be useful before assigning students to make their own. Or at least a study guide of concepts to review before going into the assignment (in the same vein as the real-world example point).
By Kisha B•
Jun 25, 2019
This course started off great. The exercises and quizzes for weeks 1 thru 4 were based on the lectures or videos and all was well. Then came week 5 and the final assignment. First the reading on How to Setup IBM Cloud Object Storage needed to be updated. I contacted an IBM Developer and they told me I needed to upgrade my account. I suggest adding the Watson Studio Setup to the Instructions page of the Final Assignment. OR include a link to the Setup Instructions instead of including a link to the Wikipedia definition of GDP. The lectures did not include the information needed to complete the final assignment. Add to the grading rubric for the last question the following for 3.5 points: URL that is incorrect and does not display the dashboard.
By Martha C•
Jan 11, 2021
I took the first star away because the exercises in the labs often asked for code that wasn't covered in the course. I would stare at my screen and notes for a bit trying to figure it out and then when I revealed the answer, I saw concepts that weren't covered. There were also some discrepancies between instructions and the actual ask in a few labs, which I'm guessing result from updating content in one place and not another. I took the second star away because I've completed this course very unsure if I've really learned the basics or not. Fortunately, what I've learned is that Google is your best friend when trying to figure out how to write code for specific situations, so I will use that until I get more comfortable with Python.
By Samuel K N•
Mar 17, 2021
The learning curve required here is quite steep, I am glad I had paused this course to complete the Python for Everyone Specialisation, offered here in Coursera, before endeavouring to complete this one.
The familiarity with coding gain there, made me understand better and take advantage of this course, instead of the feeling of loss I had at the beginning, particularly with the level required to complete some of the hands-on labs.
I recommend you get acquaintance with Python at a basic level, to get more out of this course.
I have provided feedback to Coursera regarding this area of improvement, either to include the PY4E course here or to at least tell people about that option.
Hoping the best for your learning experience.
By Venkatachalapathy P•
Dec 16, 2020
The final assignment was not put up in the week 5 bucket. Instead we had totally different 'housing' related notebook with instructions for using seaborn which we never covered in the course. The final assignment was later sent in as a response to a question in the discussion forums.
The directions in the python notebook was confusing.
The support staff was being helpful but with so many issues, the frustration is all around in the group of people who took the course.
I spent two days getting answers [which I never got] to my questions. I found out the answers by my own effort . In the process, I believe, I have a better understanding of IBM Watson Studio, IBM Cloud, Storage, Services and resources. I am happy for that.
By Yakov F•
May 24, 2021
The best part of this course is that they provide learners with an easy to use cloud Python environment ( https://labs.cognitiveclass.ai/tools/jupyterlab/lab/tree/labs/ Jupiter notebook). The exercises in that environment are good. One can almost skip the lectures and only go through the exercises, there will be little if any loss.
This course forces the learners to sign up and use the IBM cloud environment, and I don't like it. It's completely unnecessary.
The sequencing of material beyond the basics is somewhat random. Anyway, the course covers a little bit of many Python essentials. There may be better Python courses, I just don't know them.
By Juan D P M•
Mar 14, 2022
The course is fine, but i feel that in the last two weeks they trow at you a lot of information without much context, so is really difficult to understand the topics covered in those weeks. There are a lot of tools and libraries that came out of nowhere in the labs without any explanation, i had to use google a lot in order to understand why they were usinig a especific tool or library. additionally It would be nice to have a way to practice more.
It is also disencouraging that the certificate says that is a non-creidt course, sound like it doesnt worth anything.
Finally the forums didnt help much when you have a question.
By Dale S•
May 7, 2022
3 stars for content and presentaion. I like the format (videos, text, labs, and pop up quizzes).
No 4 stars though. For a representative of "Higher Learning" this course has a herendous amount of mispelling and some grammar fails. Maybe it's just my OCD coming out but I would expect better from my students if the situation were switched. When the syllabus was handed out for this course apparently SpellCheck101 was not on it. I considered taking the time to report all the instances as I went along but I'm not being paid to proof read.
Other than that its a worthwhile course.
By Natallia J•
May 24, 2021
Die Fragen der Quiz waren manchmal merkwürdig. Manchmal war die Formulierung der Antworten so komisch, dass man einfach raten musste, was konnte der Autor als eine richtige Antwort meinen (denn genau genommen gab es Keine richtige Antwort zwischen den Varianten). Manchmal war die Auswahl der Varianten so ausgewählt, dass es nicht möglich war, falsch zu beantworten(egal ob man Kenntnisse erworben hat oder nicht), weil die falsche Antworten VIEL ZU offensichtlich falsch waren.
Ich hatte den Eindruck, der Autor hat sich bei den Quizen nicht viel Mühe gemacht.
By Mayuresh B•
Apr 27, 2020
The course was informative at the beginning. However, the quizzes in the middle of the videos are too easy and oddly placed. The final quizzes are pretty straight forward too. There's no practice involved as such. The final Dashboard project wastes a lot of time trying to focus on IBM buckets, credentials and setup and whatnot instead of actually teaching how to use python for data visualization and AI. I really believe the course could've been more in sync with the course title. Many of the topics were left off in the middle and were not taught in-depth.
By Farnaz N•
Apr 27, 2021
For those who are looking for AI development specifically, this is not the right course for you. It focuses on basics for the first 4 weeks and APIs in the last week. It never really talks about AI packages or development methods, as I thought it would.
If you are a total beginner in Python, this course along with some more rigorous practice on your own, could suffice. But if you have done a few real projects this will be too basic for you.
The lab modules DID NOT work for me from week 3 onwards! Come on IBM, please do something about the cloud system!
By Dianna C•
Jul 8, 2019
Like many others have said, the interface on IBM cloud is not the same as described in instructions. I ended up spending more time in setting up (or just getting to the place I'm supposed to go) than doing the work. I know I can ask for help in the forum, but I may or may not get a response and if I do get a response, it may be days later. On top of that, the response may or not help in resolving my issue.
The material is quite easy. I'm completely new to Python, but still I feel the exercises are too easy.
The videos are clear and concise, however.
By Stefano M•
Mar 5, 2020
The course is well done, the Jupiter notebooks are clearly explained, etc.
However, despite the rather ambitious title, the course is extremely basic. I think it took me 2-3h to go through the entire course. Based on the title, I was expecting the course to cover also advanced topics such as ways to treat large datasets, etc. It is basically just a very basic introduction.
Also, some assignment require signing up for IBM services (for free), which is a bit of a hassle. It would be easier to just use notebooks and automatic grading of assignments.
By Brandon S•
Dec 4, 2020
Focused too much on demonstrating IBM technologies. A couple labs were great, particularly the Strings and Classes ones, where you were demonstrated concepts and then challenged with an open ended question, having to explore the libraries or use resources to write the script and learn through practice. Otherwise, multiple sections on how to navigate IBM Cloud and create projects is not particularly applicable knowledge. I appreciate the work put in to the course structure, but it felt like I had paid for an advertisement at times.
By Josh H•
Jul 26, 2020
A decent introduction to the basics of programming in Python, I found the Jupyter notebooks for the labs to be pretty useful. However, the final peer-graded project is problematic in that it outright states that sharing your Jupyter notebook is OPTIONAL, but upon submitting and looking at the rubric for peer grading, I found out that it was one out of five required points for a 100% score. Not a big deal, but I can be a bit of a perfectionist when it comes to assignments, especially finals, so that was irritating to say the least.
By Sisir K•
Jan 21, 2019
The final assignment at the end of week 5 has little to do with what's taught in weeks 1 through 4. This caused a lot of confusion and hence made it very difficult for a lot of the students (as seen on the forum section) to complete the assignment. For help on the final assignment, here's a link to a helpful post by Aronis Mariano, without whose help I would probably not have been able to finish the assignment.
By Miranda C•
Jun 5, 2020
There were non-credit parts of this course (specifically on API, and the process to create credentials in IBM Cloud for the final assignment) I was unable to complete because the instructions were erroneous or incomplete. When posting questions regarding these sections in the forums, I received 0 responses. Thus I feel like there are large gaps for me in the course material. I only hope that as I am doing the Data Science certificate program, there will be enough repetition that I won't be completely confused and behind.