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!!!!
Feb 01, 2019
All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.
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Good but the content was a little outdated.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 Trupti r p•
Apr 06, 2020
Well a great course by IBM. We learned about the open source tools like Jupyter Notebooks, Zeppelin notebooks and RStudio.
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.
by hassan u s•
Aug 11, 2019
Good Course to have a complete overview of tools to use. This have build my confidence and took me in the right direction.
by Rajeshree S•
Jan 02, 2019
Good introduction to the various platforms for practicing data science. I liked the peer graded assignment of this course.
by Toivo M T•
Oct 24, 2018
Great Introduction into some of the tools one would use as a Data Scientist. I love the subscription to IBM Watson Studio.
by Mohamed G F•
Feb 12, 2019
if you want to gain experience about a nice online tools for data science field
that's the place you should be there
by Leonard B•
Mar 30, 2020
This course was tough but good. I'm excited to learn a new skill, one I hope will increase my worth in the near future.
by Abhaya K S•
Feb 17, 2020
Good to start with the basics about the open-source tools which are ready to use for exploring the data science field.
by TRIVENDRAM P•
Jan 19, 2020
I liked the course very much and it is very helpful to understand all the open source tools to practice data science.
by Srikanth P•
Dec 09, 2018
One thing, the promo code did not work for me. Most of the options on Watson studio are new. Please review. Thank you.
by Maximiliano E•
Feb 19, 2020
It gave a good basic insight into the tools and the assignments were fun. So far I am enjoying this course very much.
by Pavel P•
Sep 04, 2019
Wonderful explanation of basics of open-source tools. Really like. The best is the homework at the end of the course.
by Vijayalakshmi K•
Jun 24, 2019
Though slightly technical for beginners, considering the learning required to complete the course, it is really good.
by Maneesh H D•
Mar 08, 2019
Good introduction to a variety of tools. Watson studio is really a great resource for learning the data science tools
by Utkal b•
Jan 19, 2020
good. educator must show each step how to open jupyter notebook. and also provide the link of that which is missing
by Bora Ö•
Jan 07, 2020
I'm happy to learn those wonderful tools. They look really helpful and funny. I can't wait to explore more and more!
by Munganda P K•
Sep 29, 2019
This course was just Amazing it gave me a quick tour about how to use IBM data science Experience and its notebooks
by Daksh G•
Mar 01, 2020
This course has laid good foundation to use and leverage the open source tools needed for practicing data science.
by Sarang J•
Dec 29, 2019
The course is perfectly designed to provide an overview of the state-of-the-art open source tools in data science.