Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,253 ratings

About the Course

In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. 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. Towards the end the course, you will create a final project with a Jupyter Notebook. You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

Jul 19, 2020

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.

Mar 24, 2020

There was a problem with the connection to R lab, never fixed. Also, some tutorials are outdated. These are the negative parts and why I give four stars. Other than that I like the course so far.

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4876 - 4900 of 4,963 Reviews for Tools for Data Science

By Gajendra R

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Sep 23, 2018

Bit improve it by including some short of practice lab with example.

By Ahmed E

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Jul 12, 2020

Very unorganized course , it can be represented in much better way

By mark g

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Sep 7, 2018

Difficult to follow as the Jupyter Notebooks have been deprecated.

By Rafael P S

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Oct 28, 2021

Poor content. It's really just an advertisement for IBM products.

By Enrico C

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Apr 12, 2020

impossible to conclude because of the videos that are not updated

By Akshay P

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Jan 31, 2024

The peer review took all the fun and hardwork out of this course

By John T

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Nov 23, 2023

submitting projects to be graded by students should be optional.

By Arvin E

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Apr 4, 2020

Videos are not updated that's why many learners are complaining.

By Hsin L

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Dec 29, 2024

wasting too much time to learn this instead of real programming

By micheal a

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Feb 24, 2019

the cognitive labs isn't working the website setup has changed

By Johannes

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Mar 28, 2021

Too many tools without PRACTICE are not useful for learning!

By Bryce M

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Oct 24, 2020

the IBM website is not working and I can't finish the course

By Md. R T S

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Feb 15, 2020

Outdated Tutorials. Very Difficult to figure everything out.

By meron d

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Feb 26, 2019

outdated course in comparison with the IBM data experience.

By MAGD A S W

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Feb 3, 2019

Where is the instructors ??!!

A lot of technical problems.

By Jess H

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Nov 29, 2021

Horrible, corporate waffle on IBM's unpleasant platforms

By Ramón B

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Nov 16, 2021

A compendium of terminologies and comercial information

By Liran A

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May 19, 2020

ibm cloud content is outdated to almast irrelevance

By Kristin H

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Nov 11, 2021

Really horrible course. Useless and badly designed

By Shun-Chieh M

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Feb 3, 2020

Update the videos before releasing this as a class

By Antonio V G

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Aug 25, 2025

no puedo avanzar hasta que me califiquen la tarea

By Ivan K

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Aug 25, 2020

Felt like an ad for IBM's data science platform.

By Dimple

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Mar 9, 2020

The links to practice are down since last week.

By Alaina D

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Mar 27, 2025

The use cases were difficult to connect with.

By Guillermo T

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Mar 7, 2020

Waste of time without programming experience,