Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,265 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

Nov 17, 2020

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.

Oct 15, 2024

Good Course overall focus in basic tools. the course could be shorter as someone who know which language who want to use and familir with the tools already shouldn't learn all the course materials

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3351 - 3375 of 4,968 Reviews for Tools for Data Science

By Nnanke W

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Jul 25, 2022

great course but heavy on IBM software that is not necessary.

By Ekkarit G

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Apr 1, 2022

The screen practiced looks different from the study material.

By Said E

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Jun 10, 2021

Good introduction, but some of the information is very basic.

By Apurv T

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Jun 20, 2020

Overall is good but Data cleansing section is bit Fast though

By Ruizhu J

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Nov 13, 2019

very useful online and free open tools to help data analysis.

By MARIA F B

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Aug 27, 2019

Great course, I feel I'm starting to get fun learning code :)

By Natchapol T

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Jun 12, 2019

Cool course, give insight on the possible tools for newcomer.

By Juan P

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May 18, 2019

This course explores the IBM data science lab in a brief way.

By Mohsin S

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May 10, 2019

Slightly mismatch between tutorial and IBM Watson Studio IDE

By Mahadev M

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Jul 26, 2025

Good course for learning about useful tools for data science

By Jana A

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Mar 22, 2022

Very good course. I gain a basic understanding of the tools.

By Michael C

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Oct 9, 2020

Generally good. Some spots that could use more explanation.

By alan f

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Mar 25, 2019

It was an interesting introduction to some new tools for me.

By E V N

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Sep 25, 2024

some of the guides seemed out of date with tools being used

By Kenson M

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May 24, 2022

The best course i have found on the tools for Data Science.

By Azaliia H

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Oct 11, 2020

Thanks for the Course! It was pretty hard, but interesting.

By Wesen T

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Jan 30, 2020

This is a great course to learn critical Data science tool.

By Philip K

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Aug 26, 2019

Great introduction to open source options for Data Science.

By Roshan P

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Apr 15, 2019

Good that It introduces various tools with the differences.

By Barisia E N

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Dec 29, 2024

Packed with lots of information and handson practical labs

By Ed S

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Apr 27, 2022

Seems to be heavily skewed towards IBM tools and questions

By Bruna T K

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Mar 1, 2021

Very well explained and support is great. Would recommend.

By Vince T

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Oct 13, 2020

Covered a lot of material, and it's an excellent overview.

By Arie D F

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Jan 22, 2020

The course is fantastic, the video about R is a bit laggy.

By VIVEK S

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Dec 27, 2019

Course is great to kick start your Journey in Data Science