Learner Reviews & Feedback for Tools for Data Science by IBM
About the Course
Top reviews
RR
Apr 24, 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!!!!
GC
Apr 12, 2020
It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.
551 - 575 of 4,932 Reviews for Tools for Data Science
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 Muhamad F
•Jan 25, 2025
I now somewhat understand the biiger picture. the module cover a complete knowledge of neccesary tools for data science
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 Some of the Watson Studio part is a outdated since the interface has changed a lot.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.
By Maneesh H D
•Mar 8, 2019
Good introduction to a variety of tools. Watson studio is really a great resource for learning the data science tools
By Michael S
•Dec 17, 2024
I like this course very much, because the material is so great both easy to understand and to work with. Great work.
By Loure P
•Jul 17, 2020
Whew! This was the BEST! I learned how to code in Jupyter Notebook using Python. Now I know what these tools are!
By Ankit R
•May 8, 2020
Get to know about resources offered by IBM cloud and basics of notebook.
Happy with the course content for beginners.
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 7, 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 Allakhverdov R
•Jun 13, 2021
Excellent course, good presentation of the material, as a beginner I began to understand Data science more. Thanks!
By Anandhu H
•May 3, 2021
Great course explaining the tools used in data science. introduced Rstudio, Jupyter notebook, github, watson studio