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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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Good but the content was a little outdated.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
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: Rajeshree S•
Jan 02, 2019
Good introduction to the various platforms for practicing data science. I liked the peer graded assignment of this course.
교육 기관: 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.
교육 기관: Andres A•
Apr 22, 2020
Excellent Course to have a better understanding of the environment, Languages, and visualization of the different tools.
교육 기관: 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
교육 기관: 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.
교육 기관: Arthur D C•
Apr 13, 2020
Very useful labs and instructions. Some of the Watson Studio part is a outdated since the interface has changed a lot.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: Vijayalakshmi K•
Jun 24, 2019
Though slightly technical for beginners, considering the learning required to complete the course, it is really good.
교육 기관: 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
교육 기관: Ankit R•
May 08, 2020
Get to know about resources offered by IBM cloud and basics of notebook.
Happy with the course content for beginners.
교육 기관: 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