Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,217 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

Aug 29, 2020

This course is awsum and well explained. Some portions needs to be updated based on the current platforms. i.e Lab instructions should be inline with the current screen, e.g. Watson Studio.Thanks !

Aug 16, 2022

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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1476 - 1500 of 4,955 Reviews for Tools for Data Science

By Ignacio r

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Oct 9, 2019

I will add excellent tools to my daily work

By Vin B

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Aug 25, 2019

Well documented and easy to read and learn!

By Oswin L

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Jun 14, 2019

Good ,learned something new and interesting

By Fernando S

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May 1, 2019

A great introduction for open source tools!

By RK

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Apr 8, 2019

excellent course and very clearly explained

By Chandrakanth R

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Mar 27, 2019

Good coverage of tools used in Data Science

By Pedro J P S

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Mar 13, 2019

its a good introduction of the source tools

By MIAN S R

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Dec 8, 2025

learnt many things.. still long way to go.

By Carlos P M

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Jun 26, 2024

Muy completo e interesante. Un gran curso.

By MARTINEZ R E

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Jun 22, 2024

Excellent!! The laboratories can be better

By Marzieh M

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Apr 10, 2023

Thanks for making such a wonderful course!

By George S

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Feb 11, 2023

Great course. i am loving every bit of it.

By Yury D

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Nov 17, 2021

Great possibility to obtain the knowledge

By Deleted A

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Sep 27, 2021

covers all aspects related to data science

By Sapthaka G

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Aug 30, 2021

This is really good and interesting course

By Abhishek S

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Aug 29, 2021

Good introductory session of various tools

By Rachmat H

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Aug 19, 2021

Give me good insight to Data Science Tools

By Anibal M

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Jun 19, 2021

good pedagogical approaches...i enjoyed it

By Prasad J

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Oct 12, 2020

Excellent videos, labs and study material!

By Abhishek K

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Aug 10, 2020

Details and learning was too good, thanks.

By Miguel R

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May 14, 2020

An excellent way to get to know the tools.

By Hemant A

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May 7, 2020

Well designed and very easy to understand.

By parikshit k

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May 3, 2020

Great Coarse. Program was very structured.

By Jacques R Y D G

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Jan 15, 2020

I had a great time using Jupyter Notebook!

By Mahesh K

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Jan 21, 2019

Very informative, precise and encouraging.