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Tools for Data Science に戻る

IBM による Tools for Data Science の受講者のレビューおよびフィードバック



What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....



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!!!!


Sep 16, 2020

Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.


Tools for Data Science: 2701 - 2725 / 2,889 レビュー

by trung n

Aug 30, 2020

Too general...only take if you have zero knowledge

by Aleix C T

Jul 17, 2019

Outdated videos, but useful content nonetheless

by Pietro P

Dec 28, 2018

I did not learn much, the content was too easy.

by Jing F F

Feb 03, 2020

Video regarding IBM watson need to be updated.


Jan 06, 2019

More like a promotion of IBM Watson Studio.

by Preston K

Oct 01, 2018

The assignments were not difficult enough.

by Julia S

Oct 01, 2019

IBM tool didn't work affecting my grade.

by A L I S O N

Jun 07, 2019

week 3 is out of date and no long true.

by John J C

Mar 25, 2019

Too many advertisements from IBM tools

by Guillaume T

Feb 24, 2020

A really basic and outdated intro :/

by Roy L

Jul 23, 2019

a lot of 'monkey-see monkey-do'

by Dovile K

Feb 16, 2020

The course is pretty outdated

by Anastasia S

Apr 10, 2020

Materials are not up to date

by Pranav G

Jul 02, 2020

boring and not very helpful

by Sruthi M S

Apr 12, 2020

Poorly taught. Worst course

by Daniel y g

Mar 28, 2020

update the videos please...

by Camilo A

Apr 07, 2020

Outdated and disorganised.

by Liu Y

Sep 08, 2020

not that clear for new.

by dan

Mar 18, 2020

only basic information

by Maximilian S

May 02, 2019

Mainly self-promotion

by sahiti R

Sep 05, 2020

too high syllabus

by Asfandyar M

Feb 25, 2019

Outdated slides.

by Matias C

Jan 20, 2020


by Shah H

Jan 17, 2019

Too easy

by Hakki K

Jul 09, 2020


I completed entire program and received the Professional Certificate. On the Coursera link of my certificate "3 weeks of study, 2-3 hours/week average per course" is written. This information is not correct at all, it takes approximately 3 times of that time on average! I informed Coursera about it but no correction was made. It should be corrected with "it takes approximately 19 hours study per course" or "Approx. 10 months to complete Suggested 4 hours/week for the Professional Certificate".

Here is the approximate duration for each course can be found one by one clicking the webpages of the courses in the professional certificate webpage: (*)

Course 1: approximately 9 hours to complete

Course 2: approximately 16 hours to complete

Course 3: approximately 9 hours to complete

Course 4: approximately 22 hours to complete

Course 5: approximately 14 hours to complete

Course 6: approximately 16 hours to complete

Course 7: approximately 16 hours to complete

Course 8: approximately 20 hours to complete

Course 9: approximately 47 hours to complete

This makes in total approximately 169 hours to complete the Professional Certificate. As there are 9 courses, each course takes approximately 19 hours (=169/9) to complete.