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!!!!
Sep 16, 2020
Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.
교육 기관: Keyun R•
Apr 15, 2020
The material seems out of dated and it takes a lot of effort to try to find a region that finally accepts registration.
교육 기관: Declan C•
Sep 12, 2019
Videos and instructions do not sync with new IBM Watson Studio.
교육 기관: Eshita G•
Jun 17, 2020
Very technical, difficult to follow properly
교육 기관: Edo v d Z•
Apr 13, 2020
Very meager overview of tools. No explanation of what you are doing, videos are outdated, no explanation of the differences between the tools (when do you choose which tools), system was down for a long time, links are not working correctly. It looks as if this module was made years ago and then systems developed but the course was never updated. Course leaders is not working anymore for IBM already for more than a year. IBM you can do better!
교육 기관: Josep R C•
Apr 13, 2020
Some information is not updated and a huge amount of time is lost in trying to figure out how to do simple things just because of the platform they are telling you to use. However, you can find useful information in the forums as all students have similar problems. I would just recommend this course to users who do not know tools such as Jupyter notebooks already.
교육 기관: Kathryn D•
Jun 18, 2020
The second week of this course is so confusing and difficult to follow I almost dropped it. The third and fourth week were much better organized. The second week should be deleted from this course, it was not helpful at all.
교육 기관: T C B T•
Jun 15, 2020
A clear explanation of every tool required. Too advanced for beginners in data science.
교육 기관: Hellman O•
Sep 12, 2019
These materials should be updated to the current Watson work environment
교육 기관: Shuang.W•
Apr 15, 2020
the videos about Watson lab are out of date.
교육 기관: Orsolya N•
Feb 24, 2020
The course materials are extremely outdated and due to this reason I've spent way to much time trying to figure out how to set up my notebook. IBM Watson is just not user friendly and not easy to navigate at all and the basics were not covered anywhere. It just shows that you don't care at all.
This is very unprofessional and I am seriously considering dropping out of the remaining courses from this professional certificate and I am definitely not recommending any IBM courses to anybody. I would give it -5 starts if possible.
교육 기관: gabriela•
Apr 02, 2020
The videos aren't updated. They are using an old version of the IBM cloud and IBM watson studio. It is extremely difficult to follow the tutorials based on. You should find the recent information through the forums and Google, which is ok. But, why is the idea of having a video that is not useful with the current platform?
교육 기관: DiAndré•
Oct 26, 2019
Watson and Skill Net are massively complex tools that are hard to use or initiate. That one needs to study these tools for the sake of just using them is a caveat. These tools will go away / be superseded by something else, and this study time is lost. Hope to get some deeper understanding of Data Science soon..
교육 기관: Kalin T•
Aug 10, 2020
A gigantic advertisement of IBM Watson Studio.
Not only that, but the studio itself does not function properly.
Some of the videos were made by an IBM professional in his car!!! Honestly, you can see him on his webcam...
I found not more than 20% of the course useful.
A waste of time and money!
교육 기관: Gabriela d C G D•
Apr 15, 2020
The course is way too basic to pay for it, you can get better value for your money somewhere else. I had too many issues with Watson Studio and the support I received from the tutor/assistants was repetitive and not helpful.
교육 기관: Yeimy C R B•
Jun 13, 2020
The videos about GitHub were lack of pedagogy. fast, not clear and the subtitles in most of the cases did not match.
교육 기관: Christopher A B•
Apr 23, 2020
This course provided me with a first-rate introduction to IBM Watson Studio and its various data science tools, like Jupyter Notebooks and RStudio. Before this course, I felt overwhelmed by the vast array of technologies I thought I needed to learn before I could do anything interesting in Data Science. The instructors' videos on Open Source Tools for Data Science were well-paced and thoughtful as they gradually increased the complexity of the tasks required of the students. I must also commend the developers of IBM Watson Studios. It has been a special privilege for me to have access to some of the cutting-edge, production-ready software offered by IBM, as well as actual data science projects and code. I can't wait to finish the next course!
교육 기관: Jason R S•
Nov 24, 2019
I'm giving this the 5 Star review that it deserves, even though I ran into multiple issues when setting up IBM Watson Studio. The application from the video differed greatly from whatever version of Watson Studio that I had logged into - as if the video content was outdated. This made the navigation of the setup very cumbersome and time-consuming and it also hindered and delayed my ability to complete the assignments. However, everything else was either on point or better than the training materials (specific to the DS tools) that I had previously used. It appears that other students had completed their final graded assignments w/o any issues, judging by their submission date after I was tasked to grade their projects...
교육 기관: Tony C•
Aug 22, 2020
I really enjoyed taking this course! The well thought-out and thorough course content kept me captivated through the whole course! I really appreciate the effort put into helping us students learn the most current technologies! Since I've recently finished a course on Machine Learning, I do have a suggestion for possible improvement of IBM SPSS Modeler's Analysis Node. That is to show calculated precision and recall, in addition to accuracy; especially when there is a low probability of occurrence when accuracy value can be misleading. Thank you, again, and may the love, joy, and blessings of our Lord Jesus Christ be with you and all who take this course!
교육 기관: Jianxu S•
Aug 22, 2019
This is the first course I have completed on Coursera. Overall it definitely meets its objectives. It is written for beginners and it indicates so in the course description. Yes some of the materials are a bit out of date but I do not find anything impeding. At times, for examples, during the setup phase for the tools, I felt stuck and the fact there was no one around to answer questions made it more challenging. However, part of the learning is to deal with uncertain situations and prepare us for the future. I did feel more satisfied when I finally overcame the challenge.
교육 기관: Roshan B•
May 01, 2020
This course is really good to get some basics of the tools but if you want to get better in these tools you either need to have basic knowledge of computer programing prior or you need to explore each tool yourself and give it huge time.
I would suggest the course organizer give some optional practice materials so that people can practice it and get familiar with the tools. Also, the course videos introducing IBM Watson studio are a bit outdated with the current website interface so some times it can be a problem to understand what to do.
교육 기관: Ashok K•
Dec 20, 2018
It is a good course. Lot to learn about Data Science. There is a small problem at times. Like the IBM Watson Studio instruction do not match with the actual website. BUT this minor small problem is easily over come. As I am discovering. The IBM's website is being upgraded for GOOD REASONS. SO even if there is some mismatch in their video instructions, no problem !!! One can find newer relevant answers on Google search or on FORUMS. Which is very good in learning to overcome minor difficulties. So Overall VERY GOOD as I am also learning.
교육 기관: Sanjeev K•
Apr 28, 2020
I love you Coursera, I am really thankful for the Coursera community to provide us the course is free of cost. so many students like me suffering from financial challenges and Coursera provides us the very best course free of cost. thank you very much, Coursera.
I want to tell about something about this course, this course was really awesome and able to understand all the concept of opensource tools for data science like jupyter zeppelin and IBM Watson. this course is very helpful for me. Through this course, I learn a lot of things.
교육 기관: SHUBHAM K•
Feb 17, 2020
This course introduces the learner to the open source tools for Data Science in a very efficient manner. It describes the usefulness of different open source tools and at the same time provides hands on experience with them. There will be graded quiz sessions about each open source tool and it really helps to get the concepts clear. At the last, we have to write a Jupyter notebook and share it with our peers. We have been really guided very well to create our shareable notebook. Thanks for this course.
교육 기관: Pushkar B•
Jul 07, 2018
Adequate time and information (particularly step by step with screenshots for setup of notebook etc.) was provided in the video and related printed material. This is unlike other courses that I've take so far. So definitely appreciate the instructors and others who helped in creating the material. Although some of the DSX and Dev Cognitive Lab screenshots and steps were outdated due to the new version available, but the helpdesk of IBM was quick to respond.
교육 기관: Raúl A M N•
Apr 06, 2020
I have found the program very hands-on, and I like that. It is important to know the basics, and to know your tools, to be able to perform a great job later. This course will teach you how to use the basics for Jupyter Notebooks. Also, it will introduce you to the IBM Tool to make your Data Science journey better. You can always use Jupyter, R Studio, and others separately, but it is nice to have everything in one place and in the cloud.