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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,164 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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3076 - 3100 of 4,763 Reviews for Tools for Data Science

By USMAN I I H

Sep 5, 2022

It was good I can rate it better once I find a good job relating to this course.

By Javier R

May 13, 2022

Good overall.

Excessive IBM content.

The final exam has a strange set of questions.

By Ibrahim G

Apr 22, 2022

it was some how fast and lack of exercises to practice all contents of the videos

By Sergiu P

Mar 22, 2021

It gets confusing learning about all of the tools available, maybe touch on less.

By Jeison J L

Jan 21, 2021

Nice introductory course / would like that the first part be not so content dense

By Tanvir A

Jul 10, 2020

Informative but videos should be updated and should made more easy to understand.

By Arindam B

May 26, 2020

A great introduction to the amazing resources one could use on IBM Watson Studio.

By Rob B

May 11, 2020

Instructions need to be updated for new interface. Got confusing and frustrating.

By Ahmed A A A

Feb 4, 2020

the course was interesting with a lot to know but sometimes pages can't be loaded

By Abraham T T

Jan 30, 2019

It's a well prepared course but the links to IBM Watson studio don't work easily.

By Rodrigo d s

Dec 19, 2022

Too much enphysis on the Watson IBM studio. This tools aren't used very oftenly.

By Randell S

Jul 13, 2021

The course would be better if the video was explained by relevant professionals.

By ashish k m

Nov 18, 2019

This course provide overall idea of tools available for data science enthusiast.

By Fulvio C

Nov 6, 2019

Only the last week has some problems as the watson version online it's different

By Enmanuel M P

Sep 8, 2018

More real world problems would've been appreciated. Or more practical practices.

By Chinmaya D

May 16, 2024

Good for intro. Focuses a bit on memorizing exact names of tools and libraries.

By Chiran N

Dec 23, 2023

Great course but the final exam was evaluation method was not thought out well.

By Amir H

Sep 29, 2021

Good course, but felt a bit rushed for some IBM tools, especially Data Refinery

By DONGJIN K

Sep 26, 2020

Feedback is not correct from other student.

I'm a little bit disappointed in it.

By Francisco p

May 25, 2020

I guess the videos shown are a bit outdated with regards with some of the tools

By Jim C

Dec 5, 2018

Instructions are out of date with IBM Watson. Lite is no longer a free option.

By Mohamed H I

Jul 21, 2018

Good to have an over view on IBM notebooks like (Jupyter, Zeppelin and Rstudio)

By Cristopher Á

Feb 15, 2024

sometimes the material becomes very dense, but nonetheless, I learned a lot :D

By Piyush C

Mar 28, 2023

the content needs to be more relevant with more focus on trending technologies

By Alena F

Jul 6, 2020

Sometimes pactical-showes lessons was not really comfortable for understanding