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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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951 - 975 of 4,751 Reviews for Tools for Data Science

By Saransh G

Jun 23, 2019

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

By Troy L

Mar 31, 2019

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

By Siripat W

Oct 31, 2018

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

By Launa D C

Aug 18, 2023

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

By Nicky G R

Feb 2, 2021

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

By Dinmahomed C

Apr 30, 2020

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

By Deleted A

Apr 15, 2020

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

By Oliver E A B

Mar 25, 2020

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

By Adeyemi O O

Jan 23, 2020

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

By Eshwar S

Nov 27, 2019

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

By Exavier G

Sep 25, 2019

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

By Arnab C

Jul 17, 2019

Excellent way of getting introduced to such amazing data science tools.

By Rohitaksh G

Jul 12, 2019

Nice exposure to open source tools available for studying Data Science.

By subiksha k

May 29, 2019

One of the best course to look into different data science environment.

By Syed F U

Apr 14, 2019

Awesome Course with awesome instructors. Thumbs Up to Coursera and IBM.

By Indunil M H

Apr 8, 2019

The course was very well presented. It was a great learning experience.

By Shin-Ing C

Jul 11, 2018

Super useful tools and tutorials that answered my questions for a year!

By Jehiah B

May 30, 2024

Lots of good information, and the user experience is excellent so far.

By IGWEOJI R

Sep 18, 2023

Tools for Data Science is very interesting, informative and educative.

By Muhammad I

Mar 23, 2023

Great specialization from IBM looking forward for more courses of IBM.

By Kamran S

Mar 21, 2023

Great course! Learned so much and enjoyed the process of learning too.

By Samuel F

Mar 5, 2023

Really learnt a lot and i love the mentors teachings and materials etc

By María A G L

Dec 2, 2022

Increible. Me costo un poco pero lo logre culminar. aprendi muchisimo.

By Amaya E

Nov 25, 2022

Very educative no Prior Knowledge on this was needed....it was amazing

By Javier G R

Oct 6, 2022

A good tavel over the most popular tools in data science and its use.