Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,287 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

Jul 19, 2020

Good content, excellent delivery. Week1 had too much of information at once. I was left with little motivation after week-1. All the other weeks were good. Exercises were engaging and very useful.

Apr 12, 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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3401 - 3425 of 4,970 Reviews for Tools for Data Science

By Praveen H

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Aug 27, 2019

Really Amazing flow of training materials. I liked it.

By Parul S M

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Aug 2, 2019

lab videos are not updated to IBM Watson studio else n

By AYUSH A

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May 31, 2019

good for the basic knowledge of the data science tools

By TaotheTaoist -

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Sep 3, 2023

beside Video audio monotone, I have no other complain

By shpu n

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May 28, 2023

There were some inconsistencies in the order of tasks

By ANCY P J

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Jun 27, 2022

This course is much helpful for me to build my career

By Zhao Y

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Jan 28, 2020

Good overview of all the available open source tools.

By Koray A K

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Jan 19, 2020

Needs to update. Some videos outdated but works well.

By Alexander P

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Jun 1, 2019

The exercises could have been a bit more challenging.

By Emmanuel

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May 16, 2019

I liked still I need deep learnig from other sources.

By Burçe B Ş

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Nov 18, 2018

There could be more interactive courses on the tools.

By Jairo S B

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Jan 22, 2021

A very good overview to start a data science program

By Leonardo F

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May 31, 2020

In my opinion, material from week 2 needs a revision

By Avishek G

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Apr 21, 2020

IBM Watson have been updated. Videos are not updated

By Alberto I A

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Dec 8, 2019

I experienced many problems with the cloud platform.

By Robert L

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Oct 28, 2019

Please update the videos to more current. Thank you

By Roheet N R

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Jul 21, 2019

The course could have been a little more elaborate .

By Sagi A S C

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Mar 7, 2019

Good one. Given brief explanation into the insights.

By Peter L

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May 19, 2022

This is a nice introduction to some of these tools.

By Dr. E D

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Sep 28, 2020

Informative. great videos. good practical exercises

By Ioannis D

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Apr 4, 2020

Good introduction but some resources need updating.

By Ankit K S

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Jan 29, 2020

Gentle introduction to Watson Studio and skills lab

By Reşat C B

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Jan 29, 2020

Watson Studio part is a bit confusing and outdated.

By Nandhitha

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Jan 25, 2020

Update video for creating notebook in watson studio

By Rafed A

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Dec 8, 2019

I think need more explanation for the Watson Studio