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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,112 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

DE

Aug 14, 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

MO

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.

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776 - 800 of 4,751 Reviews for Tools for Data Science

By Gilberto G

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May 22, 2020

Excellent introduction about open source tools for data science in IBM Watson Studio.

By Anthony S

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Jan 27, 2020

I really enjoyed the hands on aspect of this course. Looking forward to the next one.

By Barak B K ( L

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Jan 14, 2020

Great course, i would add more practice lessons, also more mobile friendly materials.

By Zeeshan

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Oct 20, 2019

one of the best course to know about and practice Open Source tools for data Science

By Zachary G

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Apr 28, 2019

A basic course going over the open source tools necessary to self-study data science.

By Udeme M

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Jul 3, 2024

I really loved this one. It gives a thorough overview of the tools for data science.

By Ümit K

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Jul 8, 2023

It is a bit longer tour than part_1 but it is going very well.. Keep going to learn!

By Charles S

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Jun 18, 2023

I liked this course. It had a lot of good exercises for learning Jupyter Notebooks.

By Raquel M R C

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Jun 2, 2023

Very interesting to learn how to create a Jupyter notebook and to link it to GitHub.

By David S M

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Sep 15, 2022

It gives a very competent knowledge on the Tools that can be used for Data Science.

By Victor A

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Jan 23, 2021

Good learning course to get an overview of Data Science tools and training with them

By Alessandro M

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Mar 27, 2020

Very well done as introduction of the tools needed to be successful in data science.

By Daniel A

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Feb 19, 2020

Very engaging and resourceful. I thoroughly enjoyed the coursework. I learned a lot.

By Parshad S

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Feb 5, 2020

Great course to get familiarized with the available tools for Data Science beginner.

By Vivek k

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Dec 28, 2019

Amazing course and I have learn how to work with open source tools for data science.

By Shan C

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Sep 22, 2019

Rich content, yet easy to follow and understand for a beginner without any knowledge

By Carlos C G

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Oct 29, 2018

Very good introductory course to some basic and important tools for data scientist.

By sherryz

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Sep 17, 2018

Very useful introduction for the tools in the Watson studio and Cognitive Class Lab.

By Arianna C

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Oct 19, 2023

I liked it! I already knew a bit of this stuff, but it helped me refresh my memory.

By Edwars G S M

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Oct 11, 2023

Really good, and I'm glad it allows you to make your own Jupyter project in the end

By Chinyere U

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May 23, 2023

Really enjoyed the way this course was broken down in manageable chunks, thank you!

By Sonali S

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Mar 2, 2023

Its really interesting and easy to understand.

I'm very happy to learn this course.

By Lorena R

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Oct 23, 2022

Really helpful course to review tools such as Jupyter Notebook, Github, Watson IBM.

By Lateef O A

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Sep 3, 2022

This course taught me pure practical classes to complement my Theoretical Masters.

By Sai H B

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Apr 21, 2021

One of the best pre-requiste to enter into the world of data science. Thankyou IBM.