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Good content, excellent delivery. Week1 had too much of information at once. I was left with little motivation after week-1. All the other weeks were good. Exercises were engaging and very useful.
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i rather to chose what is data science is better in perspective of materials and assignment, because in tools for data science i feel a lot of boring because to much explanation for what have to use
By Rohan M
•Jul 21, 2023
In terms of theory it's well explained and structured but the practical aspect lacks here
By Linda N
•Jan 2, 2022
Thankful for the teaching and the course, but some of the instruction was hard to follow.
By biblio p
•Sep 24, 2020
Easy to learn course. Expansive and Introductory. Familiarize well with mainstream tools.
By Neelesh T
•Feb 7, 2020
It was fun and I really enjoyed learning through out the course!
Thank You IBM & Coursera.
By KARTIK S
•Jun 5, 2019
course videos are not updated and it takes to much time to configure to the new updates!1
By Ibrahim G F
•Jul 7, 2023
The teachings and Hands on lab practices are lovely. So far, I am enjoying the learning.
By annie w
•May 11, 2020
It's a very interesting course once you master how to write your codes and us Markdowns.
By Gabriella P
•Aug 12, 2019
Very basic insight on tools. It's only good if you have zero experience/knowledge on it.
By Ahmed M A S
•Jun 27, 2019
Great Introduction to various tools. Very suitable for someone who is just starting out.
By hamad a
•Apr 18, 2024
The course is quite well managed with focus on GitHUb and Jupyter Notebook Introduction
By Maninderpal S
•Dec 12, 2021
The IBM watson part is a bit hassle as it needs a credit card etc and might be charged.
By Sai K K
•Apr 16, 2021
As a Student it helps me a lot and I really satisfied with the completion of the course
By Valentin F
•Dec 16, 2020
I mark it as a 4 only because a lot of the content of this course is really IBM centric
By Tuna M
•Mar 23, 2019
It would better if the course is updated with the latest interface of IBM Watson Studio
By Bartosz B
•Mar 12, 2019
Good clarification of tools. Maybe some emphasis on how those tools will work together.
By Ige T
•Sep 12, 2020
Great course if you want to learn about the tools necessary in the data science world.
By Jose J
•Sep 11, 2020
A few of the week 4 videos were a little difficult to follow the information provided.
By Mohammed H M A
•Jun 22, 2020
very nice course but need more improvement in term in that it is dealing with beginner
By Giorgio M
•Apr 24, 2020
Interesting
Straight to the point
Maybe some more example on Watson would be appreciated
By Ashique B Y
•Apr 4, 2020
Some course video and links should be updated, i assume. Overall great course. Thanks.
By Anand s
•Feb 27, 2020
It is very helpful course to learn basics of open sourse tools or IDE for data science
By Borsali F
•Nov 14, 2019
Good for knowing Open Source (and online / no need to download) tools for Data Science
By Vasu N
•Jul 11, 2019
Basics of Jupyter Notebook were clear but zepplelin notebook was not that much cleared
By Héctor C
•Mar 18, 2019
Good course and good explanations although an update on the content would be welcomed.
By Fayaz O
•Feb 7, 2019
Good overview of the different web-based platforms available to practice data science.