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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....



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: 1926 - 1950 / 3,161 レビュー

by Sanket H


It was good.

But every tool was completed in a hurry.

Hope detailed information is given in further videos

by Ullas g


Although concepts are nice and neat its very hard for beginners. Also, the course is not up to the date

by Andres M


The course need an update, Zeppeling is no longer on Skill Labs and IBM Watson has change a little bit.

by Mark H


Lots of good information. I learned a lot about the tools available. Information was presented clearly.

by Mohd A R


need to include some PDF document just to explain all, specially how to use IBD DSX and Cognatitve Labs

by Ellen


Lots of great information packed into a short time.

Excellent resources and step-by-step instructions.

by Ridhi S


The course video should be updated as per the present interface. Otherwise the overall course was good

by vicky t


IBM WATSON is not up to the mark creating account and all are very hectic otherwise course is too good

by J C


Good introduction to Open Source tools for data science, including: Jupyter, Zeppelin and RStudio IDE.

by Janemary M K


Some updates are needed to ensure the video instructions tally with the particular website's content.

by Jeroen O O


Overall good. Some the videos need to be updated to relect the current web environments of the tools.

by Bettina W


Very short and clear introduction to relevant tools. Videos about IBM Watson Studio could be updated.

by Robert C


Some of the videos did not align with the look of the web interfaces but overall it was a good course

by Rómulo G C


Por favor actualizar los videos tutoriales a la nueva version de IBM Cloud. Muy buen curso, gracias.

by Aloke D G


An interactive course that gives resourceful insights to the tools available online for data science

by satyam a


Can work more on notebooks and things have been updated so there is a need for steps to be updated.

by Jesús A S G


A great deal of information where you can learn the basics and most important tools in this filed.

by Hind B


It is a very rich course, however, I would like to hand more practical exercise on different tools

by Nikhil J


Great resources, but more focused towards "Open Source tools of IBM". Felt could have been better.

by Frugier E


Good overview of the main tool. Jupyter Lab is particularly well covered. It is getting exciting.

by zuhal d


this course useful but some photos, interfaces tools old. I think interfaces of tools can update.

by Riccardo C


Clear and substantively approachable. Hoping in further data analysis models in the next courses.

by Christopher D K


Actually, It is a great study material, but there are some video that repeat the previous lesson.

by Ana C T M


There has been some issues accessing the tools used on this course, but overall it was very good.

by Dipakkumar B


This course is really great for a beginner who wants to develop their a career in Data Science..