Chevron Left
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....



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!!!!


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: 1826 - 1850 / 3,097 レビュー

by Kevin C


Great course, however there are a lot of people including myself who got a bit confused with the final project submission.

by Nader A


Although the represented content was well formed, I think introductions to each technology and section was so rudimentary.

by Muataz A B


I liked the course, there were parts that the videos were not clear and the reading takes a few attempts to be accessible



Nicely designed course, lot of inputs,

Spoken English of some of the narrators was difficult to understand during videos.

by Jerold D G


some of the options on Watson data Experience work a bit different than they do in the videos but otherwise good content.



This course provides a wide and variety of information about popular data science tools, especially which came from IBM.

by Enrique C P L


I think the video of the Zeppelin Tutorial is not clear at all, especially for those like me who don't know programming.

by Mattias M


The content was interesting, I was hoping for a little more coding and maybe less Watson, even if it is very interesting

by Orlando D


pretty good experience , the IBM site changed their look. Was a little confusing to create notebooks but finally got it

by Setia B


The course is quite informative especially for those who are looking for cloud alternatives to do data science project.

by Juraj K


Overall, a good and useful course! Some things were a bit confusing, as if the course forgot about the previous videos

by Hunter I


Learned the basics, easier to use, some sections need updating especially Watson studio, overall learned decent amount

by Simon-Felix W


Good overview of the tools. But this might be a bit confusing to someone completely new to the tech/data/coding world

by José R C V


Some of the captures used in this course are not the same that applications show you, but it is not too much problem.

by Hemant S


Video content is a bit outdated so kindly update it or at least attach reading with it to let the students understand

by Liu Z


I like open source tools but the IBM watson studio, being an enterprise tool, does not very much fit into the course.

by Javier F A


Unfortunately some of the videos are very old the videos are not paired with the reality found in Watson Studio. :(

by Gabriel O


Course was good at introducing software, however, the videos introduce an older version which can make it confusing.

by Prajwal T


i would give it a 5 but the videos are outdated and do not show the tools for eg Watson in its current updated state

by Brian V


The material is good, but needs to be updated to reflect the changes in the IBM engine used for the lab environment.

by Ilse B Z M


The videos are less friendly than the first course, but they are condensed, explicit and quick to put hands to work!

by Samantha S


This is a brief introduction, so there is not much detail, however it does provide an awareness of available tools.

by PAL S


course is based on old interface of IBM Watson. this will create confusion for the learner in understanding process

by Trần T M T


The video should be updated together with the IBM Watson. It is difficult to follow the lesson and do the exercise.