These courses are good, but still in the realm of the "memorize and regurgitate" type of class. As an adult who wants to learn concepts and dive into practice of those concepts, this course is a bit inhibitive with all of the chosen questions for quizzes. These prevent you from really grasping a concept, and have to focus more on nit-picky details of each lecture/video.

As a total and complete beginner when it comes to most things data science, computers, coding, programming, etc., this course was very challenging. It felt unorganized, overwhelming, and filled with jargon. I eventually started putting things together by the end of the course, but it took me a lot longer and a lot more effort (and stress) than I would have liked.

The tools and website is sometimes hard to connect, and has maintenance/update very often and it made it extra difficult for us new comers to follow up without step by step guide to the new features, which prolonged the course and it wasn't very necessary.

But I did learn a lot from this course hopefully the tools and guides get better for the future students.

If you are going to create a class, please DOUBLE CHECK everything periodically. We have found most of what you are telling us is wrong and are having to learn by trial and error. I feel sorry for those who do not have a background in computers or speak english. They have to be very frustrated by your outdated instructions that do not work. I know I am.

The Skills Network Lab never once worked for me while I was enrolled in this course. While I have Jupyter Notebooks and RStudio available to me via an Anaconda installation, and could therefore follow along to most of the lessons, installing Zeppelin locally proved to be too difficult for me, and thus I have no hands-on experience with Zeppelin thus far.

This course came too early. I was overwhelmed with the number of tools covered as part of this which was not required especially the functionality part of each tool. This was the time I was about to quit as it was getting too much. It is better to focus on one tool and once you grasp the concepts of data science, it is easy to replicate across tools

+ Online environments for most tasks - Quite a few strangely worded questions, including double or triple negatives. - For the online RStudio demo a GGally dependency was missing. - Requires you to create a repository on your private GitHub and share it. - Annoying requirement to take screenshots of your Jupyter notebook for peer grading.

Too much content that was not accurate, (i.e. time to actually re-record the videos vs just having all those notes that say they're the same - the navigation on the IBM site is different now, so it's not just a title - time to rerecord). Also, found that a decent amount of it was a rehash of things in the first class in the certification.

The course says suitable for beginners but by Week 2, it becomes apparent that this is not actually the case. I was able to finish the course, but with great difficulty and a lot of research outside of the modules to understand this. There should have been a bit more of an introduction to the skills that would have been needed further on.

I ended up having to reset the course deadlines multiple times due to the final project. My final project was submitted end of february, and yet still beginning of April have still not received final grades for it, thus need to keep resetting deadlines. A little frustrating to keep paying a new fee for a course that has been completed.

Although the intent was clear, and IBM Watson Studio is helpful, this course needs to be rewritten. The week 3 content is a repeat of what was completed in the first course of this certification. Additionally, the content of needs to be updated to reflect the new format and functions of IBM Watson Studio over Data Science Experience.

Rather shallow course that tests you on trivial knowledge mentioned at some point in the videos/readings. More hands-on exercises/assignments will be more useful, instead of just testing on things that can be easily googled. Course does give a nice overview of data science tools, you one does not learn much more than an overview.

This one comes to soon in the path to get IBM professional certificate.

To many tools to get a handle off when you just start out. A bit overwhelming

As a stand alone course when you need these tools it is probably ok.

I would have prefered to just stay with skillabs and move on.

and then later maybe come back when absolutely needed.

A lot of errors, typos, and mismatched interfaces make this course frustrating. The order the material is presented in several lessons is wrong. The general purpose of the work is clear, and I took copious notes on a lot of it, but so many details are missing, hidden, or presented in the wrong order. This course needs updating!

The content of week 2 (module 2) was shockingly bad. Complete disregard for the level that this course is aimed at and extremely bad quality. Week 1 overall was decent compared to week 2, but was a complete data dump and quite a challenge to keep up. Week 3 and the assessment in week 4 were a pleasure and a delight to learn

the first week is really impossible to follow, too many inofrmations and given too quickly and there's no meaning in listing all those programs. Second week is the best one in my view, and very well organized. About the last 2 weeks: a course on tools cannot be focused 50% on IBM tools, which, by the way, nobody uses.

I was very disapointed in the 4th week's content. I understand that it is a course sponsored by IBM, hence, I was expecting way better content on their softwares and tools. On top of that, the interface shown in the videos is different from the current one which made it even harder to follow. IBM you can do better.

Incluyen conceptos dentro de conceptos que no están plenamente aclarados en el principio, lo cual retrasa mi estudio porque debo buscar en otras fuentes de información para poder entender los términos utilizados dentro de su contexto, ya que en primera instancia no poseo una formación académica relacionada al curso.

Dull presentation and the second half felt like I was paying for an advertisement of IBM's data science tools more than anything else. If I'm having to pay for each specialisation from IBM, it would be good to get some information on IBM's competitors to balance it out. Not just IBM's resources and the free ones.

IBM Watson section is totally out of date and no where is it mentioned that the information in the videos is not accurate and the steps are all wrong. very disappointined in the quality of this course will be canceling subscription if this is the type of instruction the other courses have. Totally unacceptable

This course just promotes the tools from IBM and it also needs you to make accounts into its products and although it says, the products are free trial, they want your credit card details. Most questions in the assignments are also all about their products. I am very annoyed and disappointed by this course.

The content is rich, but hard to follow along is you have some form of learning disability. I struggle with concentration, so only having to read works on a slide made it hard for me to follow along with the course content. I would advise you, preview and ensure that this content fits your learning needs.

The course is too dry and not contextualised, the only thing I was happy to have learnt is how to use Gibhut, that's quite hands on, however other parts are full of jargons that I am not even sure if they are relevant to me at all, and I can't remember most of them or understand how to apply them at all.

Material given in the course was not well stuctured. It took me 10 minutes to conspect some thesises in 7 minustes video, just because information provided in the following slides was chaotic. Finished this course in a few hours. But very well integrated ads of IBMs software, bonus star for it

While generally content was useful, video tutorials were created using outdated tools and with not much explanation or introduction to concepts. Some video tutorials were also used with a Mac, which leads to syntax variations. Week 3 felt like I was sitting through an IBM Watson advertisement.