Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

28,855 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

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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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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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1251 - 1275 of 4,726 Reviews for Tools for Data Science

By Mingyang H

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Oct 17, 2019

Good class to know the basic tools for data scientist

By Sheryl S

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Sep 19, 2019

Excellent synopsis, very clear and easy to understand

By Aflus A

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Jun 23, 2019

Nice brief overview of ibm opensource tools available

By dinesh p

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Jun 20, 2019

We need some more practice course on Jypter notebook.

By NAVAKANTH B

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Apr 13, 2019

content was well designed and very promising to learn

By Muhammed N

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Mar 5, 2023

this course is good to understand data science tools

By Neelash M

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Mar 1, 2023

Extremely good informative content and presentations

By Christopher W E

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Oct 13, 2021

great presentation of tools needed for data science

By balkrushna n

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Jul 10, 2021

this gives really good idea about Data science tools

By Adil A

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Feb 28, 2021

Amazing explanation and awareness of different tools

By Monica V

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Oct 19, 2020

Great intro course to various data science programs.

By RAVI J

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Aug 28, 2020

it very interesting learn into tools of data science

By Aldy P

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May 12, 2020

I learnt a lot from this course, Thank You Coursera!

By Samuel K R

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May 8, 2020

Great Introduction to data Science Open Source tools

By Bhanu P R P

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Apr 7, 2020

This is the best persuasive course I have ever taken

By Richard D S

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Jan 27, 2020

Very good platform to learn Python, R, Jupyter, etc.

By Thibaut S

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Jun 9, 2019

Thanks you for your lessons based on watson studio!

By Jeanderson B C

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Nov 27, 2018

Good intro to Apache Zeppelin and Jupyter Notebooks!

By Elías A

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Jun 18, 2024

lear how to use Jupyter Notebook, Github and Python

By Alejandro M

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Feb 27, 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 13, 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 3, 2021

the course is more useful and cover basic concepts