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 Kristoffer H•
Jan 31, 2019
Great course for people beginning to learn programming or veterans who just haven't used the various tools of the data science trade.
by Diego M•
Jun 17, 2019
Nice course! Good overview of the tools available in market as well as the use of the IBM toolset for professional Data Science Use.
by Manpreet S G•
Feb 03, 2020
The Data Science experience change to Watson studio is great. However, the videos and instructions need to be updated for clarity.
by Douglas F•
Oct 04, 2019
Curso muito bem feito que apresenta de forma clara e direta ferramentas open source que auxiliam o trabalho do Cientista de Dados.
by Uygar H•
Mar 16, 2019
I really appreciate this introduction course, it introduces popular tools which a data scientist would use definitely..Thank you .
by Matheus L T A•
Jan 30, 2019
Great course to learn about open source online tools and the basics on what Data Scientists are using to develop their researches.
by Marco A L•
Feb 05, 2019
I discovered new tools that I did not know.
IBM Watson and Cognitive Lab are awesome. Plus, the benefit of being part of coursera.
by ADU I O•
Feb 02, 2020
It's a very practical course, giving me a direct access to the tools and languages used by Data Scientists all across the globe.
by Dinara K•
Jan 09, 2020
I like the course. It gives brief description to open source tools for Data Science, you can learn about IBM Watson Studio also.
by Sushant K S•
Feb 16, 2020
This course is very helpful in understanding different types of Open sources platform regarding data science and their feature
by Lakshminarayana D•
Sep 12, 2019
Great Learning Experience in getting the knowledge on the multiple data science tools with cloud lab, Thanks to the professors.
by Harish K N•
Jul 06, 2019
Great course! The only negative is that the peer-reviewed assignments take more time and it might delay your course completion.
by Aditya C•
Mar 22, 2019
The course is a good starting point to the various tools present and does a good job at making the course taker ease into them.
by Nickolas A•
Jan 22, 2020
Good introduction to the tools I will be using throughout the course framework. Explanations well laid out and easy to follow.
by Michel M d S•
Jan 19, 2020
Although there are some outdated content, the course provides valuable insights ant it's actually worthy the time spent on it.
by Abhinav K•
Nov 11, 2019
Good number of open source tools have been given by the course. Hope we get to make use of some of the tools in future course.
by Matt M•
Jan 25, 2020
Course is a little out-dated, but still manageable. Would like to see an update to what is actually active on the webpages.
by Ankita S•
Aug 19, 2019
It is one of the best training I have ever accomplished . Each and every module is beautifully designed . Love you Coursera.
by Sarah D•
Aug 06, 2019
Thanks. This was helpful for beginners - but the content Is not up to date. It references an older version of Watson Studio.
by Pei-Wen L•
Jun 11, 2019
Have access to Jupyter Notebooks, Zeppelin notebooks, and RStudio using IBM's website. Have a basic understanding of coding.
by Christi D•
May 17, 2019
Course was good and explained in detail the difference in the older system and new system which made it easier to work with.
by Praveen V•
Sep 15, 2019
Good but the content was a little outdated. It would be better if it was updated to Watson studio instead or of the old one
by Sivachandra V•
Jan 17, 2019
A Good start for a fresher in Data Science in terms of getting a hands on R studio and Python in the IBM Cloud environment.
by Nurbek D•
Oct 21, 2018
A great course with lots of useful information and knowledge about open source tools for data science. Highly recommend it.
by Eric G•
Oct 02, 2019
Nice overview of different data science tools, though at times it can feel like an advertisement for IBM's cloud platform.