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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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976 - 1000 of 4,751 Reviews for Tools for Data Science

By Gustavo A M C

Sep 1, 2022

Very good course, excellent content and the activities to complete it.

By Abhishek K

Jul 29, 2022

I found this course very helpful. It is best course for data scientist

By Rajan S

Jun 3, 2021

Great course to understand the tools that can be used for data science

By James T B

Jun 29, 2020

This course was well structured and easy to follow. Very informative.

By John R

Jun 7, 2020

Very detailed explanation about the tools that we use in Data Science.

By Gene M A

Mar 12, 2020

Another curse closer to the IBM Data Science Professional certificate.

By Ansar S

Mar 6, 2020

Course Introduced me to IBM cloud and notebooks in in which is amazing

By Nikhildas C

Mar 2, 2020

Very good course and learned about open source tools for data science.

By Furqan K

Feb 22, 2020

Good course on covering open source tools available for data sceintist

By James D

Nov 14, 2019

This has truly been an awesome experience for me to continue learning.

By Rushikesh C

Jul 22, 2019

nice course .

learn about some open source tools which are very useful.

By Katiuska V G G

Jun 13, 2019

Great summary about open tools for Data Science and IBM Watson Studio.

By Dipin D

May 27, 2019

Very informative and easy to understand lectures . Thank you so much..

By Rafael J M M

May 15, 2023

Muy completo para empezar a entender las herramientas de Data Science

By Avinash K

May 2, 2023

Coursera provides the best knowledge and in-depth knowledge. Love it!

By Richa S

Dec 22, 2022

I am so much enjoying this course.

Its simple and easy to understand.

By Soham S

Oct 6, 2022

Helped me a lot to understand the basics application of data science

By Julia V

Apr 26, 2020

Would be great to keep video updated in accordance with updated tools

By Christian H

Jan 12, 2020

thanks a lot for providing the necessary overview over so many tools!

By Nicholas F

Oct 7, 2019

Orientation for the student to some tools used within the profession.

By Varun S

Feb 9, 2019

Great course to experience different data science softwares virtually

By Saptashwa B (

Dec 30, 2018

Very good course ! But I would love to have a bit harder assignments!

By Rubén J R G

Nov 25, 2018

This. Course gives you all tools you will need to be a data scientist

By Mughni A

May 19, 2024

Good for someone who try to learn programming, not only data science

By Osama A

Nov 24, 2022

It had its difficulties, but you will never forget what you learned.