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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1651 - 1675 of 4,955 Reviews for Tools for Data Science

By victor f

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Jul 2, 2020

Great coures, very powerfull tool!

By NEDURI V V R P

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Jun 30, 2020

introduction to some advnced tools

By Jesús V

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May 4, 2020

Great course. I'm glad to take it.

By Yasir A

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Mar 10, 2020

Content was perfect & informative

By cha y s

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Mar 10, 2020

Really nice tool for Data Science.

By Shem M A

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Feb 16, 2020

Very well structured and delivered

By Akram P

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Dec 28, 2019

I really enjoyed doing this course

By Alvaro Q

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Nov 11, 2019

elementos visuales desactualizados

By Alejandro T F

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Nov 6, 2019

Very general overall but necessary

By TRESOR N L

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Oct 21, 2019

Excellent and hands-on experience.

By Amit G

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Jul 3, 2019

awesome course, great expalnations

By Maksym C

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Jun 29, 2019

Good overview of open source tools

By Brittany C

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Jun 6, 2019

Challenging but I learned so much!

By Kiremerwa R

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Jun 3, 2019

Hard but inyetesting and educative

By Ayushi G

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Apr 18, 2019

Very well explained and documented

By Rethabile M

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Apr 8, 2025

Best course to get people started

By anurag g c

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Dec 11, 2023

Very informative and well rounded

By Shurahbeel S

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Jun 12, 2023

Best startup as a data scientist.

By Jeffrey A

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Jan 10, 2023

Great fun and mix with excercises

By Zar N K K

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Dec 3, 2022

I get great learnng in Coursera.

By Deleted A

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Jan 9, 2022

This Course is best for beginners

By Fahad R

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May 2, 2021

Really Informative Course ,Thanks

By Sanket P D

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Jul 18, 2020

It Amazing I enjoyed course a lot

By Guruprasad M

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May 12, 2020

Fantastic course, really liked it

By Sarah H

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Apr 10, 2020

Easy to follow, very informative.