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!!!!
Nov 29, 2019
This course helped me finding open source tools. I knew about Jupyter Notebooks, but I also got to know more tools. Further, I got IBM subscription too, it would definitely help me in my work.
by Sutapan P•
Dec 10, 2019
Very detailed course with great videos, examples, study material and hands on lab. Also I love the concept of peer graded assignment, gives me opportunity to see how others are doing.
by Shrey S•
Jul 17, 2019
A very good introduction to the various data science tools. Very helpful and easy to understand even for non coders. The exercises mentioned make you comfortable with the environment.
by Sirwan K•
Feb 17, 2020
This was my first time to get to know open-source data science tools and it gave me a general view of the same. of course, self-study is a must to get more familiar with these tools.
by Deleted A•
Sep 03, 2019
The course is too good.After attending the course, I am having great understanding on jupyter notebook.Also, able to make a small assignment on jupyter notebook on IBM WATSON STUDIO.
by Rene B•
Jul 28, 2019
I thoroughly enjoyed taking this class. The seamless platform with video and hands-on exercises created an engaging course. Also, the peer review process was extremely rewarding.
by Nhan T N•
Feb 19, 2019
This Course is nice for overview of open tools including free and premium coding environment that support user so much in studying, practicing and developing code for data science.
by Max G•
Jan 29, 2020
Good for pointing you towards free open source tools to practice developing in for both Python and R. Also has a nice introduction of how to use some basic feature of these tools.
by Md. A A J•
Feb 20, 2020
This course creates a friendly environment to learn Jupiter notebook, Zeppelin Notebooks, RStudio and IBM Watson Studio step by step.
Course materials and assignments are great!!
by Derrick K•
Apr 23, 2019
I was really excited to dealing with IBM Watson Studio through the Internet. Also, given IBM Badge made me feel very worthwhile about learning. Thanks for this practical lecture.
by Luis H•
Jan 09, 2019
The information is clear and allowed me to complete all the activities, just be aware that the IBM tool is not upgraded in the course so research and web navigation is mandatory.
by KUDA T C M W•
Oct 14, 2019
Once I enrolled in this course I had no idea about Data Science tools. This course is the best for who don't know anything in Data Science tools and very beginners in this area.
by Haywood N•
Aug 19, 2018
An invaluable hands-on provision. I feel as though I am adequately hatted with the basic skills and equipped with the efficient tools for my next steps in pursuing Data Science.
by Rudolph M N•
May 16, 2019
I use a chromebook and these tools were very helpfull for someone who is new to the discipline and cannot reliably boot a python terminal or R studio on his primary machine.
by Devvrat M•
Dec 02, 2019
Great course for understanding the essentials tools required to implement Data Science. Juypter Notebook and Zappelin Notebooks are the most preferred Notebooks to work on.
Aug 27, 2019
Brief introduction to manny useful online tools for data science. Although it seems to be easy to accomplish this course, it really helps me learn more about data science.
by Tassio C d A G•
Feb 24, 2019
This course is primordial to meet the tools applied to the slim courses. Explicit concepts and ease of access in the course. Course clear, structured and of great value.
by Zaheer R•
Oct 14, 2019
Makes you familiar with the software tools needed to write code in Data Science. It is not an programming class but rather a great tutorial around each piece software.
by Nikhil K•
Jan 26, 2019
Thanks a lot to Coursera & mentors. I am really very happy for such a wonderful teaching pattern which is not only beginner friendly but interesting & interactive too.
by Glener D M•
Jan 22, 2019
I learned how to use Jupyter Notebook in the IBM Data Science Experience and practically with its proficiency in preparing a notepad along with the Markdown recording.
by Andrew B•
Jan 06, 2019
Useful tools for the beginning data scientist. However I found that all courses listed through this specialization are available for free through Cognitive Class Labs.
by Gopala R•
Oct 03, 2018
Very nice introduction to online tools with simple hands on training. Labs and quizzes are build the confidence of the student whether novice or expert in other areas.
by Raghupati Y P•
Feb 22, 2020
This course is little tough to clear at Assignment Stage but if your curious and determined then it's just the matter of time and you will start loving DATA SCIENCE.
by Pinky C•
Dec 12, 2019
Thanks for creating this course but while doing it with complete specialization according to first course it feels little hard and not connected with previous course
by Vivekanand P•
Sep 11, 2019
Nicely documented learning. Only suggestion is to update the content of lab where instructions are per the old DSX tool and are not exactly same for Watson studio.
by Andrew K J•
Jul 12, 2019
I found this course very useful. I especially enjoyed practice with new markdown tools in Jupyter which were very useful for creating well formatted notebooks.