Aug 14, 2022
I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.
Apr 12, 2020
It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.
By Evgeniy G P•
Jan 17, 2022
Terrible experience with the IBM Cloud platform. An account is needed in order to achieve the final assignment.
At first they deactivated my account without any reason. Then, due to an error on their side, I had to spent 2 days in order to create a new one.
By Amanda C•
Dec 18, 2019
This course has a good introduction to some online, open-source tools. It does not really discuss the drawbacks of these tools or their real use in industry. The test questions are detailed "gotcha" questions and not aimed at true comprehension of material.
By Varun V•
Oct 17, 2018
Lots of videos are outdated as the tools (Both CognitiveLabs/Datascientist workbench AND IBM Watson Studio) have gone major updates and it was very difficult to follow the video tutorials. Unless the videos are updated, I cannot give a better rating than 3.
By Bob D•
Sep 14, 2021
Production quality on the videos was not what I would expect for a professional qualification from a reputable company like IBM. Content was okay, but focused heavily on the IBM suite of services, making it feel more like an infomercial than a tutorial.
By Denzel J S•
Jul 17, 2020
I was pretty disappointed with the weeks of this course. Not only it lacks 'on-hand' tutorials but the vagueness of video lectures, lack of instructions for beginners. A total downer for amateur beginners whose looking into the world of data science.
By Deleted A•
Dec 23, 2019
Some material needs to be updated. Even though it has been clarified at the beginning of the course, many things have changed and the videos and reality are different. The concept is the same of course but it causes confusion among students.
By Fernando R•
Jul 14, 2020
A decent enough intro to some of the tools, specifically Jupyter notebooks. Week 1 just mentions a bunch of technologies without going into much detail. Week 3 is in my opinion a waste of time as it functions mainly as an infomercial of IBM services.
By Stephen C•
Feb 22, 2022
Some issues with lab instructions not lining up with current version of the IBM cloud platform. First sections just kinda listed heaps of tools in way too much detail - later weeks were helpful in their focus on one or few immediately useful tools.
By Mandar V P•
Apr 11, 2020
Last part is not updated. The videos and notes are of the old version of IBM Watson, hence the interface of the thing is just about completely different from the one shown and taught about in the lecture. IBM should change the videos and notes ASAP.
By Devon H•
Mar 20, 2020
Technical challenges given differences between what was presented and what was found for exercises. In some cases steps didn’t render student getting the required options to complete all aspects of the assignments and/or took a lot longer to finish.
By Manish P•
Dec 27, 2019
Multiple creation of logins was confusing. A lot of time was spent figuring out the links. Changing the name from Data Experience to Watson Studio probably led to some of it. Hope you guys streamline the steps and videos to match with what shows up.
By Haim D•
Mar 13, 2019
I feel that I could have benefit much more from coding more with Python or R. I feel that all I know is how to activate the tools, and run scripts that are already written. I would have liked more time to practice the tools, facing real questions.
By Vincent Z•
Jan 8, 2019
The course does a good job of showing the some available free tools for data scientists. However, I still haven't the impression of having learned any data science yet, after two courses in this specialization. I hope the best is still to come.
By Chris L•
Oct 15, 2019
it is good to know there is a lot of free tools out there but it is not very practical. in reality, you will most likely use one tool and excel in one language, having tons of tool in the box does not mean having the equivalent in your brain.
By Juan D C G•
Sep 20, 2018
The course is OK, the problem is that IBM tools seem don't work every time. I had to open 3 accounts with different e-mails to get to work with Watson Data Studio. The videos explaining how it works are outdated and don't correspond anymore.
By Christina T•
Feb 6, 2021
A lot of information is thrown at you at once and really isn't explained other than that they are tools for data science. It would be easier to follow along if other random facts about them that aren't related to their purpose was removed.
By frank s s•
Oct 1, 2018
I found some of the lessons hard to follow. The web page has been updated but the class has not. I still enjoyed the class and learned some valuable information but it would be nice if the data being taught was current with the webpage.
By Anas A•
Feb 23, 2022
The course is rich in information, but in my opinion it shouldn't be the 2nd course in the IBM Data Science Professional Certificate. It should come later when students are more familiar with the different steps of data science projects.
By Henrique M•
Jul 24, 2020
The course did not present didactics at the same level as others Coursera courses. The mix of IBM tools for training in the same space as the service sales environment makes learning confusing. The exercises on the tools were very basic.
By Folasade O•
Feb 23, 2020
Good introduction to multiple data science tools and their integration with one another .
The instructions in many of exercises are not explicit and in some cases not complete. There is a lot of room for improvement with the exercises.
By Thiago V•
Feb 15, 2022
First part of the course was great, learned about tools and stages of the data processing. The end was overwhelmingly focused on IBM tools, which even depended on an IBM account that no longer worked by the time I finished the course.
By Michael P•
Nov 7, 2018
The instructor could do a better job clearly explaining the topic and/or material, showing a step-by-step 'how-to' on tasks, and testing on what he teaches. There were instances where the quiz questions were not covered by his videos.
By Luis O L E F•
Oct 28, 2019
In general the contents of the course are good, however, I thinkg that there's too much time waisted in promoting IBM products rather than actually teaching some more introductory things about all the tools mentioned in the course.
By Joachim A•
Jan 28, 2019
while it was good learning about the tools and platforms that exist, I was a little confused by the IBM Watson Platform that did not function that well. That was not the best experience, so I hope the creators can address that !
By salman k•
Jul 4, 2021
a large amount of tools which I think are not that necessary has been packed in this course . So it make learning a bit confusing to the learners as which tools are the best . Please remove the extra material which isn't necessary