Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,304 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 25, 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

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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1326 - 1350 of 4,972 Reviews for Tools for Data Science

By Elías A

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Jun 19, 2024

lear how to use Jupyter Notebook, Github and Python

By Alejandro M

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Feb 28, 2024

I learned a lot in this course I hope to learn more

By Ravi K J

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Dec 30, 2022

Very interesting and easy to learn great technology

By Roman N

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Nov 13, 2022

Awesome. Some tools for data science were reviewed.

By Lloyd T C

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Oct 14, 2022

Very informative, lessons are clear and enjoyable.

By Asad

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Dec 19, 2021

It was really amazing and yes discovered new things

By vijay k A

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Jul 4, 2021

the course is more useful and cover basic concepts

By Sandra V

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Dec 11, 2020

Excelente contenido y mucho mejor los laboratorios.

By ravindu k

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Jun 25, 2020

got lot of new knowledge thank you Coursera and IBM

By Liliana Z

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Jun 17, 2020

Very clear explanations and good hands on exercises

By Prateek K

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May 12, 2020

Nice overview of open source tools for data science

By Wongsapat W

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Apr 6, 2020

Good course for introduction tools of data science.

By olubuade i

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Jan 23, 2020

The Course is Great and well structured for beginer

By Badal J

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Aug 7, 2019

interesting to get basics clear on jupyter notebook

By Dennis L

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Aug 3, 2019

Need to update the demo video for IBM Watson Studio

By Sérgio Á d A

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May 1, 2019

Essential for whom wants to work with data science.

By Demetrius M

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Mar 10, 2019

I feel very prepped to work with Jupyter Notebooks!

By Mario P

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Feb 13, 2019

It was great to discover Zeppelin and the IBM Cloud

By Ryan H

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Nov 29, 2018

Learned a lot about the tools used in data science.

By Soumya R B

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Oct 29, 2018

Super awesome cloud based data science tools guide.

By Chayut L

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Oct 19, 2018

Great Introduction to tools needed in data science.

By Enikeev A

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Sep 6, 2018

A lot of cool tools which i will use in my projects

By Geetika P

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Dec 19, 2025

Great course, amazing content! Got to learn a lot.

By Jacques T T

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Oct 19, 2024

A good overview of the tools used in Data Science.

By MOHAMMED S A A

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Aug 12, 2022

الدورة جميله وذات محتوى عميق يزيد من اثراء المتعلم