Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

28,855 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

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The course contents are verry good and well structured except that Watson Studio tools and services options need to be explaind more, specially those used in the lab steps or explained in the videos.

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Some of the lab assignments had instructions that didn't line up with how the programs actually worked. This was particularly the case for modular flow where auto-numerics seemed impossible to use.

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4376 - 4400 of 4,733 Reviews for Tools for Data Science

By Fabrizio E

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Dec 28, 2019

The IBM Watson interface has changed so you should update the video

By Stein O K

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Jan 14, 2021

Seemed a lot like a IBM Watson advertisement that i paid to view..

By Dylan S

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Dec 7, 2020

Content covered in quizzes is not covered in the videos and such.

By Jitin S

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Nov 2, 2020

Too much theory and no practical requirement of lab project scope

By Manoj

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Apr 11, 2020

Too many spelling mistakes and not enough depth of understanding.

By Erik Y

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Mar 23, 2020

You need links and updated screens to got with IBM Watson Studio.

By Victor R D

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May 17, 2020

The coursework is interesting but the final week was a disaster.

By Youcef D

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Feb 14, 2023

The course includes some tools that not used just lost of time.

By Naz a

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Mar 30, 2021

I did not enjoy this course, a bad start to the specialization!

By Roberto S

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Jun 22, 2021

It is a waste of time and money been repeating the final test.

By William K M

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Apr 23, 2022

Too IBM centric, final exam didn't calculate grade correctly.

By GAEL T Y

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Mar 31, 2020

Instructions were very hard to follow. Course needs an update

By Salvatore P

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Oct 17, 2021

too much simplicistic, generic, and most of the time useless

By Lommy T

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Dec 29, 2019

Many of the videos were hard to follow and at best outdated.

By Fereidoun T

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Sep 26, 2024

We should not need to use Watson to go through this course.

By Adam M

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Nov 29, 2019

The instructions need to be updated for the final project.

By Hardik P

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Apr 18, 2019

Lot's of discrepancies between videos and actual interface

By Phenil B

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Apr 3, 2019

They are basically promoting their products in this course

By Esteban C

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Nov 16, 2022

Very IBM oriented and too much information for a beginner

By Abraham Z

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Dec 31, 2019

The course needs to be updated to match IBM Watson Studio

By Ruby C

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Nov 21, 2019

IBM Watson Studio material needs to be update for sure...

By TW Y

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Jul 4, 2020

A bit overwhelming with too many tools were introduced.

By Monica S

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Oct 9, 2019

Very out of date. The instructions need to be updated.

By Rahul A

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Mar 26, 2022

Shameless promotion of IBM cloud, learned very little

By Amp D

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Sep 3, 2020

need lot of improvement in explaining IBM SPSS tools.