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.
por 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.
por 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.
por 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Although there are some outdated content, the course provides valuable insights ant it's actually worthy the time spent on it.
por 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.
por 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.
por 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.
por 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.
por 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.
por 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.
por 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Good but the content was a little outdated.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
por 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.
por 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.
por 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.
por 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.
por Rajeshree S•
Jan 02, 2019
Good introduction to the various platforms for practicing data science. I liked the peer graded assignment of this course.
por 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.
por 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
por 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.
por 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.
por 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.
por 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.
por 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.
por Vijayalakshmi K•
Jun 24, 2019
Though slightly technical for beginners, considering the learning required to complete the course, it is really good.
por 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
por 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