Chevron Left
Back to Tools for Data Science

Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
23,156 ratings
3,643 reviews

About the Course

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, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. 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 Skills Network 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 Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

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.

AJ
Sep 15, 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.

Filter by:

2176 - 2200 of 3,646 Reviews for Tools for Data Science

By Juraj K

May 30, 2020

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

By Hunter I

Apr 12, 2020

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

By Simon W

May 20, 2020

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

Apr 2, 2020

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

Feb 6, 2020

Video content is a bit outdated so kindly update it or at least attach reading with it to let the students understand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

Feb 7, 2019

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

By LO W

Nov 20, 2021

A good introduction to beginners. More interesting and challenging staff are in the proceeding courses in the series

By daniel b

Feb 13, 2021

It is a very basic course, especially it is theoretical (something important to have a good foundation). Good course

By Javier F A

Feb 28, 2020

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

By Gabriel O

Feb 28, 2020

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

By Prajwal T

Jan 20, 2020

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

Dec 4, 2019

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

Dec 13, 2018

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

By Samantha S

Apr 19, 2020

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

By PAL S

Apr 18, 2020

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

By Trần T M T

Feb 23, 2020

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

By Eric N

Apr 30, 2019

Would be even better if they had updated the content along with the update of the new Watson Studio user Interface.

By Shankar B

Jun 4, 2020

The instructions are a bit complicated for the rookies. Could be a little slower and simpler. Great work otherwise

By Mahesh L D

May 26, 2020

Learn new open source data science tool like Jupyter notebook, R studio. good practical hands on Jupyter notebook.

By Nitin A D

May 22, 2020

Great course to get the knowledge of different tools available for working with data science and machine learning.

By MD H H

Feb 8, 2020

Great Introduction to the Open Source Data Science Tools. But I would expect the tutorials to be easier to follow.

By Roberto M

Nov 17, 2019

They need to upload the new videos, because the videos are with the old version which is very difficult to follow.

By Prasanna K

Aug 3, 2019

it is very entry level course and lucidly explain. I would suggest to improve the difficulty level of this course.

By Marco

May 11, 2019

i could not get access to the same screen as the one showed in the video.

maybe it's me, maybe it has to be checked