DE
Aug 14, 2022
I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.
MO
Apr 17, 2023
the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.
By Trupti r p
•Apr 6, 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 1, 2019
Nice overview of different data science tools, though at times it can feel like an advertisement for IBM's cloud platform.
By hassan 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 2, 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 NALLELY Y
•May 5, 2024
Considero que el curso brinda bastante conociminento con un plus de que se puedan realizar los ejercicios con un bootcamp
By Ambrish T
•Jul 14, 2023
Great for learning all types of Data Science tools and to work on Jupyter notebooks. You will learn a lot more than this.
By Stephane M
•Mar 22, 2021
Very nice and progressive course giving a good understanding of open sources tools and a good overview of IBM tool suite.
By Lujan F
•Mar 20, 2021
Muy buen curso para conocer las herramientas no solo de Data Sciense en general, si no lo que nis ofrece IBM en la nube.
By Andres A
•Apr 22, 2020
Excellent Course to have a better understanding of the environment, Languages, and visualization of the different tools.
By Mohamed G F
•Feb 12, 2019
if you want to gain experience about a nice online tools for data science field
then
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 Andrej K
•Jan 24, 2023
I like this course. It was really hard to put all the things to my head. But finally after all the lab works I did it!
By Robert B
•May 23, 2021
Very Well done.
Items were explained well and the projects and tests were relevant to the work covered in the lessons.
By Arido R
•Sep 13, 2020
thank you for the great course, it opened my mind on what tools are available and commonly used in data science world.
By 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.
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 9, 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 imtiaz A
•Apr 9, 2022
best with course i will be learn the tool of data science .By this course jupyter note book use and many the library
By Reza J
•Nov 24, 2021
It was really useful for me. I got familiar with most of the tools for data science that I've never heard about them.
By Lina V S
•Jun 5, 2021
Excellent contents and hands on practices with basic features.
Thanks a lot for facilitating in very reasonable price!
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 4, 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.