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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,204 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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3951 - 3975 of 4,771 Reviews for Tools for Data Science

By Kateryna T

Feb 16, 2020

It requires to register in different tools outside the coursera to proceed further.

By Mohammad A

Aug 10, 2020

More Practical Use of Tools instead of their info would have been more appreciated

By Wesley v W

Jan 29, 2020

Videos are out of data and the navigation is different from video to new software

By Eric S

Jan 20, 2020

Videos need to be updated to reflect what is currently live in IBM Watson Studio.

By Deva R

Oct 22, 2020

It's not as good as the first course. i think it really needs reading materials.

By Michel R

Mar 23, 2020

Interesting course that will introduce with the existing data science platforms.

By Prabanjan C

Jan 22, 2020

Tools seems to be outdated, videos are not aligned with the IBM's cognitive lab.

By Ana C O W

Jul 7, 2021

Muchas cosas toca pagar, y es muy teórico, seria chévere que fuera más práctico

By Colin M

Oct 31, 2024

I wish that the message about not using your credit card was 1 lesson earlier.

By Amine E

Aug 1, 2022

Could be better , confusion between using IBM cloud and the IBM skills network

By Ettore M

Oct 19, 2020

In my opinion it should give more info on basics of languages/libraries usage.

By Ian M

Jul 5, 2020

I think this course was to focus on IBM Watson studio and not on data science.

By Maria J J A

Jun 23, 2020

It was not as engaging as I expected, too much theory and very basic practice.

By SHALIN S

May 31, 2020

week 2 was very unstructured and difficult to follow, refer to feedback given.

By Richard S

Feb 19, 2020

Good course but some of the videos are out of date as the software has changed

By Noor A

Nov 11, 2019

IBM Watson Studio sign up video should be updated accordingly with the updates

By Adhith R P

Apr 3, 2020

Unable to access Zepellin notebooks and could not do the practical excercises

By Ameya M

Jun 26, 2019

Wish the course was updated for Watson Studio instead of the previous version

By Caner A

Jan 10, 2020

the content is not updated. You can lose time while registering on IBM Cloud

By JEEHYUNG H

Jan 13, 2023

I can't sign into the IBM cloud. I don't know why... I can't take this test

By Kersh T

Jun 19, 2020

Focus was overly on IBM tools, in my opinion. There were also too few labs.

By Basant A H A

Dec 2, 2019

The course is not updated according the latest version of IBM Watson studio

By Anup J M

Sep 13, 2019

I believe some coding practice should also be added into the course content

By Finn S

Feb 17, 2019

Just OK. Good course instructors and good introduction to open source tools

By Kourdassi m a

Apr 28, 2021

it was nice course just it was too much concentrated on the ibm softwares