Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,280 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

Sep 21, 2020

Gives you a good idea and overview about different tools but can be overwhelming because of the amount of new information and some videos are not up to date. Week 3 especially had some weak videos.

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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976 - 1000 of 4,969 Reviews for Tools for Data Science

By Bruce J

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Jul 10, 2019

Outstanding! I really had to dig i and pay attention to details this week

By Pranav A

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May 10, 2019

Very good learning on tools and stepwise learning method is very helpfull

By Paulo B S

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Apr 15, 2019

A step by step introduction to Data Science Tools and Watson environment.

By Manohar N

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Oct 11, 2018

Excellent course content, Extremely satisfied. Thanks to course designer.

By Anthony R S

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Sep 19, 2018

Great introduction to the various open source tools used in Data Science.

By Tanaeem A

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Oct 7, 2022

The course was beginer friendly and it guided me to every single detail.

By Aziz M

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Dec 9, 2020

Great content however some modules need updating as the softwares update

By Kostas A

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Nov 19, 2020

At the end, all these videos about IBM's services explicitly were boring

By Isah A

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May 20, 2020

It makes you have a broader view of all the data science tools available

By Attlee M G

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Jan 25, 2020

Thumps up to the facilitators and the contributors of the material here.

By cindy k

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Dec 4, 2019

I learned soooo much with this review. wow really enjoying this program.

By Janki P

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Sep 10, 2019

Best Data science course,well explained with all data science concepts.

By mert k

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Aug 16, 2019

Pretty good and useful program. Great to learn the basics and the tools.

By Anant S

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Jul 13, 2019

Great course to get one's feet wet with the open source tools available.

By Saransh G

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Jun 23, 2019

This course gives us an overview of all the open source tools available.

By Troy L

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Mar 31, 2019

The opportunities to use Watson Studio for solving problems are endless.

By Siripat W

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Oct 31, 2018

It's excited to know another text editor but jupyter notebook, thank you

By Launa D C

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Aug 18, 2023

Great course! Learned a great deal of concepts I was not familiar with.

By Nicky G R

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Feb 2, 2021

For a non IT person, it's workable and learn able as long as you focus.

By Dinmahomed C

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Apr 30, 2020

I learn about Data Science tools that help to visualize data in graphs.

By Deleted A

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Apr 15, 2020

Great Experiences, learned lots of details data tools, will pursue more

By Oliver E A B

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Mar 25, 2020

Is good to get to know the tools, but you do not acquire actual skills.

By Adeyemi O O

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Jan 23, 2020

This is an excellent module. I thoroughly enjoyed the practice sessions

By Eshwar S

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Nov 27, 2019

Exception introduction to the tools and the powerful IBM Watson Studio!

By Exavier G

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Sep 25, 2019

This course really honed in on the foundation of data science with IBM.