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!!!!
Jun 30, 2019
This course is very nice to understand Python, Zappelin and R Studio basics on code and concepts, in which you will get hands on along with creating a free IBM Cloud and Watson Studio account.
by Diana T•
Jan 14, 2019
Some of the Watson Studio videos are confusing because they are recorded on the previous version and they don't match anymore.
by Declan C•
Sep 12, 2019
Videos and instructions do not sync with new IBM Watson Studio.
by Hellman O•
Sep 12, 2019
These materials should be updated to the current Watson work environment
by Fares A G•
Mar 20, 2020
This course is embarrassing to take, the level of education is so that a highschooler would understand it with ease, it does not teach you how to use the tools claimed. Advertising this course as a learning tool to open source tools for DS, is akin to someone advertising a course for programming languages then teaching you how to write hello world in two or three languages. A more apt name for the course is "An outdated advertisement to IBM tools for data science". Why do I suddenly mention outdated? Because the videos, labs, and readings use the IBM skills academy website as is at least a year outdated, the tools they use (specifically adding data to the skills lab) are no longer available, and the instructors have done nothing about this on the forums. You're better off learning from youtube or google or anywhere else, even if this course was free, it'd be a rip-off.
by Andre B•
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 These tools will go away / be superseded by something else, and this study time is lost.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..
by 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the video differed greatly from whatever version of Watson Studio that I had logged into - as if the video content was outdated.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...
by 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.
by 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.
by 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.
by Carlos J B A•
Nov 07, 2018
The courses I have taken have served me for my professional life, expand my knowledge and apply them finding results. This undoubtedly marked my personal life feeling happy and calm with what I am living. I feel that this platform has changed my life because it has ended with many paradigms that I had with respect to education, thanks to the financial help that Coursera has given me I have been able to move forward in my life project. Thanks you very much. Greetings from Colombia
by 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.
by Catherine C•
Apr 01, 2020
Without any prior knowledge of data science, I completed this course on my own. Although it was not easy, I am glad that I did it with several attempts. The pleasure of accomplishment from hard work was beyond words and could not be replaced by anything else. Moreover, it gave me the courage to challenge next course.
Thank all the teachers and everyone involved in making this course available to the public.
by MOUAFO D•
Jan 21, 2020
An amazing review of available tools for data science an data analysis. Many tools are reviewed, including tools for programing with different languages, cloud for online storage etc with some handy works to get familiar to them. The practices include the procedure of creating personal accounts, free profile in the IBM cloud. One ends up having a nice overview of many available tools for data science.
by Jason J D•
Jul 21, 2019
Good Course! Goes through the basic tools for Data Science. The course assignments are fairly easy, especially if you have worked on any of these tools before. The IBM resources on the cloud that are used for this course are fantastic, although they are slow to load at times or confusing to navigate. But with some practice, it is easy to master them and take advantage of these open source tools!
by Vagia X•
Feb 20, 2019
I did not know about Cognitive Class Labs. I was trying to install all these different packages in order to be able to work with them and make progress but I have always had difficulties. I am super excited that I finally realised that there is a much easier way to work with all these amazing tools on line without any problem :-) Thanks a lot Coursera and IBM for this amazing course :-)
by Juan D P•
Apr 12, 2019
It was a very good introductory course to the Open Source tools available for the practice of Data Science. The pace is normal and the contents are enough to understand and fulfill the requirements in the final project assignment. The IBM Watson Studio presented some issues but they were solved in less than 24 hours by the IBM Engineers. Kudos to the support team!
by Kefang A Y•
Apr 18, 2019
It is very useful to know the IBM cloud platform and practical. The cloud platform is very complicate and may do many things. It looks like a forest for me.
Some videos is old interface. If there are step by step instructions, it will save me some time to quickly start. Assignment is easy, but take time to get used to the environment and to know where am I.
by Mamtha V S•
Feb 20, 2019
Loved it! The most useful aspect was the cognitive class cloud web environment, which truly allows you the flexibility and mobility to practice from anywhere. There is no need to download install software, so you can access the course, literally from any machine, in a seamless manner. That's a very neat feature for someone who is working.
by Joseph G•
Nov 29, 2019
I learned so much in this course. I had no idea these tools were available in one place online. In preparation for doing the IBM Professional Certificate, I spent about a week installing programs and languages and stressing out about GUIs and IDEs. This course showed me multiple ways to get around all this and use IBM online tools.
by Jess M•
Jan 29, 2019
A lot of this is outdated since the IBM Watson stuff has been completely revamped, and the Zeppelin Notebooks tutorials were difficult to follow, since they seemed to have already been run when I went in, and therefore I couldn't tell what was function and what was output. But it's great to have all these free tools available.
by Isis S C•
Jan 19, 2020
Loved the course! It presents integrated environments where we can perform data analysis (+all previous and post steps) using multiple languages in open-source tools. IBM Skills Network Labs is perfect for learning, IBM Watson Studios enables collaboration and scalability, for enterprises. Super convenient tools!
by Frances B•
Mar 20, 2019
the course is great for people getting into the field of data science and have no clue where to start with resources for the filed. It helps build confidence and security knowing there are resources at our finger tips, for free, and with guidance from the the tutorial videos provided in this course. great stuff.
by Atal S S M•
Mar 05, 2019
Very informative on the open source tools available. It does get tricky sometimes to understand the instructions of the notebooks as the videos display an older version and the current website would have the updated version. IBM Cloud is a huge advantage to work on Python,R and Scala with spark kernels for free.
by Mike M•
Dec 14, 2019
Very beneficial, albeit somewhat painful , in getting the assignment done since the videos (at the time of this review) are not exactly correlated with current software (Watson v. Data Experience).
But hey, we are to be problem solvers, so that was just one minor hurdle to overcome and learn from in the process!
by CHIN-HUNG, Y•
May 24, 2019
Nice in introducing approaches to data science; however, some parts appears unnecessary to be mentioned right in the beginning. For example: Appache Zeeplin and Zeppling for Scala are more of courses in either intermediate or advanced level. Perhaps postponing it till database would be a better option.