Apr 25, 2019
To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!
Feb 01, 2019
All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.
by Jingran Z•
Jul 01, 2019
I feel I just got to try a bunch of tools out there but didn't have a clue how they could be used in the real world. I mean I certainly could look into those tutorials in the community but registering for a course is to save me some time browsing through random topics. I think the course can be a bit more structured and provide more meaningful practice opportunities.
by Mariano J G C•
Jul 14, 2020
This course is well organized and rich in content; yet at times, it felt like instructors were just zooming though to deliver the content and not necessarily teach. Obviously they are not professional or trained teachers, but mostly it seems, they were just reading from the script, and that makes the experience and learning more challenging. Overall, great content.
by Ankur G•
May 19, 2020
A great course to get insights about various Data Science tools at our disposal to analyze and visualize data to make effective decisions. I thank the professors to make this course interesting and worth it.
Just one thing though, some more insights about these Data Science packages would have enhanced our familarity with these packages, thus helping us immensely.
by Gavin P•
Feb 18, 2020
Not good. Bugs. Discrepancies between material and tools. Probably needs to be updated. I might drop this track and go to another set of courses because this course is fundamental to the other 7 in this track, and IBM tools are not widely enough used to warrant spending a lot of time learning a track that is IBM tool specific.
And my latest submission is empty???
by Shady S•
Apr 25, 2020
The outcomes expected from people in this course are vague. The course presents some more advanced programs within the modules and its not tole to us whether we need to understand the code or we are just supposed to run it as is without knowing what is happening inside. I mean the content is interesting but it is more advanced to beginner level.
by Atfy I Z•
Apr 11, 2020
A good course if you are interested to go beyond merely knowing what Data Science is and try yourself on the open source tools available.
The instruction in the course, however, can be a bit confusing, particularly if you do not have computing background. That being said, with a little bit of extra effort, a newbie can still follow this course.
Sep 23, 2019
Unfortunately, I did not have the best experience with this course. The IBM Watson Studio course content is not up to date. I spent a lot of time trying to figure out where to find information. Thankfully, the discussion forum helped me understand that the course content was a little outdated with regards to screenshots and nomenclature.
by Venkatesh S•
Sep 15, 2019
This one is basically IBM peddling its wares! But I guess if you don't already know how to use Jupyter notebooks, this can be a good place to start. I won't recommend paying exclusively for this course! But if you are taking this to get the IBM Professional certificate, then just go through it quickly with the videos at 2x speed.
by Aurelio A I•
Dec 23, 2019
The videos are not updated. I know the people in the texts say so but it was very difficult to me to follow one of them. Due to this, I realize how bad is Coursera's help and support and forum management since I had to find my way out to finish the course. This is a complaint on the platform, not on the course. The course is OK.
by Aravind B R•
May 28, 2019
The instructions on IBM Watson studio aren't very good, given that the tool has changed. Spent over an hour trying to create a new Jupyter Notebook. During the storage selection, after clicking 'Add', you need to pick existing and not Create New. Then select the storage, go back and click 'Refresh' on the Notebook creation page.
by Allison E•
Apr 20, 2019
Links and screenshots are badly in need of being updated. I had to find my owns way to sign up for IBM Watson, and it still took over 24 hrs for me to get my login verified. Then when you are finally signed up, the video tutorial isn't relevant because it's not the latest version of IBM Watson Studio being discussed.
by Rishika S•
May 24, 2019
The course was good although I felt that some elements which were difficult to grasp could have been elaborated more. Also, the videos are I assume old, so the actual site which is now IBM Watson has completely changed, so it became difficult initially to get to it. But, it got great when the actual work started.
by Alexandru F•
Jul 23, 2019
Decent overview of the open source tools used in Watson Studio. I would have liked a more hands-on approach, but considering that this course comes after the "What is Data Science?" introductory course, it fits the purpose of broadly understanding what Jupyter Notebooks, Zeppelin Notebooks and RStudio is.
by Joaquin G R•
Feb 08, 2019
I changed my mind. This course is not so bad. I don't rate it 4-5 because I don't like the fact that the interface in IBM Watson Studio is not the same as the current one which makes it a little bit confusing and because some of the videos have audio issues and introduce some concepts without explantion.
by Rebecca A R•
Mar 04, 2020
Instructions are not very clear at all and almost impossible to follow. Things took a lot longer than they should have just to get to where you needed to be. The work required was not difficult, but the lack of instructions on how to navigate and get where you needed to be was extremely frustrating.
by Caroline V j a•
Jul 03, 2020
The tools are at a very very high level and covers so much on machine learning. A beginner needs to learn about the basics of Data science before taking up a course on the tools. Otherwise it will not be of much use. It covers lots of machine learning terms which a beginner might not aware of.
by Bard W F•
Mar 18, 2020
Course has a lot of information which is outdated from the tools. This should be updated at least by a text file. Also note that the test tool does not work with a computer running linux which also should be informed.
Else the topic was great and the course was really interesting and compelling.
by Diego L•
Apr 02, 2020
I got some problems with R Studio with https://labs.cognitiveclass.ai/ it stops several times so I decided to use the IDE with IBM cloud. The lesson was a little bit too much easy for me and a little bit boring maybe next time next time the course could use only tools present in IBM cloud.
by Clayton S•
Feb 02, 2019
Very IBM centric but I guess you get that on an IBM course. However I was getting a few problems with some IBM sites until I upgraded my account (time outs/ errors etc) so I would suggest doing that using the free coupon - I think this issue is more prevalent in places outside the USA?
by Thinh N•
Oct 02, 2018
At the end of the course, what you need to remember is that "we have a very useful platform for data science that is IBM Watson Studio". However, because it is an enterprise software, its price is very high. So you should end up using something else or be restricted in its Lite version.
by David B•
Jan 27, 2020
A little disappointed this module of the course was only really markdown and focused a lot on IBM's products rather than actual technical code. However, I understand that others taking this course are most likely very new to coding and data science, and need an introduction like this.
by Melissa K•
Feb 24, 2019
Course content should be updated for IBM Watson. No point in having tutorials to show you where things are when it looks different in reality. Also, I think the videos assumed learners had a baseline knowledge and just glossed over things that would have been nice to learn more about.
May 23, 2020
The content of the course is shown to be widely-known in the data science field as there are many discussions in the internet regarding this topic. However, the videos in this course are not up to date which cause many issues in practical side of the course and also the assignments.
by Attila K•
Nov 11, 2019
1) The course itself is way too fluffy. It's more like a marketing brochure of the IBM services.
2) And it's not even a good one as the name of the systems have changed, the way they are operating has changed, and you can not even do some of the tasks by following the course anymore.
by Peter C•
Jan 19, 2020
The course was excellent to introduce the tools you have promised us. However the narrator of Zeppelyn Notebook and RIDE videos was not engaging enough. It would be more efficent and engaging if you can introduce those two tools in the same manner as you did with Jupyter notebooks.