Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,500 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

Apr 18, 2023

the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.

Apr 13, 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.

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4501 - 4525 of 4,831 Reviews for Tools for Data Science

By YI Y

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May 20, 2022

Video display quality is poor and not up to date.

By Domenico G

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Jan 11, 2021

The course is too much focused into IBM products

By Aleix C T

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Jul 17, 2019

Outdated videos, but useful content nonetheless

By Pietro P

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Dec 28, 2018

I did not learn much, the content was too easy.

By aman J

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Jun 19, 2021

the worst explanation they dont explain basics

By Nikolay B

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Mar 19, 2021

Whole course can be substituted by an article.

By Jing F F

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Feb 3, 2020

Video regarding IBM watson need to be updated.

By Jan S

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Dec 7, 2021

Forces you to use less than optimal IBM tools

By Denis K

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Jul 22, 2021

Not enough practical knowledge, poor content

By Arjun C

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Jan 6, 2019

More like a promotion of IBM Watson Studio.

By Preston K

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Oct 1, 2018

The assignments were not difficult enough.

By Jorge F

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Feb 9, 2022

Too much information, lack of structure.

By Aman _

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Jun 28, 2021

I learned nothing but to scratch my head

By Julia S

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Oct 1, 2019

IBM tool didn't work affecting my grade.

By A L I S O N

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Jun 7, 2019

week 3 is out of date and no long true.

By John J C

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Mar 25, 2019

Too many advertisements from IBM tools

By Guillaume T

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Feb 24, 2020

A really basic and outdated intro :/

By Roy L

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Jul 23, 2019

a lot of 'monkey-see monkey-do'

By Dovile K

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Feb 16, 2020

The course is pretty outdated

By Anastasia S

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Apr 10, 2020

Materials are not up to date

By pranav g

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Jul 2, 2020

boring and not very helpful

By Sruthi M S

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Apr 12, 2020

Poorly taught. Worst course

By Daniel y g

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Mar 28, 2020

update the videos please...

By Jonas N

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Jan 18, 2024

Very boring teaching style

By Amrinder K S

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Sep 17, 2022

very less coding exercise