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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
30,122 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

RR

Apr 24, 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!!!!

GC

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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3376 - 3400 of 4,932 Reviews for Tools for Data Science

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

By Rizwan Z

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Mar 25, 2023

Much information provided in an appropriate manner

By Jason S

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Jan 13, 2022

I have learned a lot and am enjoying the process.

By Tsholo S

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Mar 23, 2020

Good course, some of the tools are outdated though

By Anurag B

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Sep 29, 2019

It good and give us Basic Knowledge where to start

By Brijendra K

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May 6, 2019

very basic. there should option for easy and hard.

By José J R J

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Feb 25, 2019

Four star because some of the content is outdated.

By Donald L

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Mar 4, 2021

some jargon difficult for newcomers to this field

By Deleted A

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Aug 2, 2020

I think Coursera needs to work on video lectures.

By Ram S

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Mar 12, 2020

Some files are not working. It was disappointing.