Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,553 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 17, 2023

the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.

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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3326 - 3350 of 4,844 Reviews for Tools for Data Science

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Good course, some of the tools are outdated though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.

By Parthasarathi D

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Feb 15, 2020

I found the course helpful. The flow is also good

By Pierre C

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May 20, 2020

Overall pretty good. Week 3 needs to be updated.

By Luis F P

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Feb 5, 2020

Me gustaria que tuviera mas ejercicios practicos

By Ashok J

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Jan 26, 2020

Watson studio expertise steps should be updated.

By Devraj S

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Jun 10, 2019

There can be more explanations to use the tools.

By Hải Y Q

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Nov 13, 2023

Don't have a good experience on peer assignment

By Mwamba M F

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Feb 5, 2023

learn many tools that didnt know before. thanks

By act j l l t

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Aug 24, 2022

Falta actualizar algunas imagenes a Watson 2022

By BALA I

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May 6, 2022

All quiz and teaching materials are very useful

By Raúl A

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Jan 16, 2020

Needs to be updated. Everything else very good.

By Manpreet S

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Apr 15, 2019

Give a good understanding of tools and platform

By Benson B

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Mar 27, 2019

Could have thrown in few more practice quiz !!!

By Luis A C S

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Jun 6, 2023

me gusto peronestaba complementamente en igles

By Rohit S

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Jun 15, 2022

this course me confident in data analyst skill

By Wicked M

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Jan 4, 2022

I didn't like some of the questions on week 4.

By Anastasiya K

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Feb 12, 2021

Informative, but feels like IBM advertisement.