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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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4401 - 4425 of 4,762 Reviews for Tools for Data Science

By kartik S

Apr 25, 2020

The material is quite outdated and it was difficult to follow through.

By Marco N v Z

Sep 6, 2018

since IBM updated system to watson, video's should be updated as well.

By Lukas P

Nov 25, 2018

Outdated course material. Very disappointing for a fee-based course.

By Michael G

Feb 7, 2022

Can't even create an account in IBM Watson. Cannot complete course.

By Fabrizio E

Dec 28, 2019

The IBM Watson interface has changed so you should update the video

By Stein O K

Jan 14, 2021

Seemed a lot like a IBM Watson advertisement that i paid to view..

By Dylan S

Dec 7, 2020

Content covered in quizzes is not covered in the videos and such.

By Jitin S

Nov 2, 2020

Too much theory and no practical requirement of lab project scope

By Manoj

Apr 11, 2020

Too many spelling mistakes and not enough depth of understanding.

By Erik Y

Mar 23, 2020

You need links and updated screens to got with IBM Watson Studio.

By Victor R D

May 17, 2020

The coursework is interesting but the final week was a disaster.

By Youcef D

Feb 14, 2023

The course includes some tools that not used just lost of time.

By Naz a

Mar 30, 2021

I did not enjoy this course, a bad start to the specialization!

By Roberto S

Jun 22, 2021

It is a waste of time and money been repeating the final test.

By William K M

Apr 23, 2022

Too IBM centric, final exam didn't calculate grade correctly.

By GAEL T Y

Mar 31, 2020

Instructions were very hard to follow. Course needs an update

By Salvatore P

Oct 17, 2021

too much simplicistic, generic, and most of the time useless

By Lommy T

Dec 29, 2019

Many of the videos were hard to follow and at best outdated.

By Fereidoun T

Sep 26, 2024

We should not need to use Watson to go through this course.

By Adam M

Nov 29, 2019

The instructions need to be updated for the final project.

By Hardik P

Apr 18, 2019

Lot's of discrepancies between videos and actual interface

By Phenil B

Apr 3, 2019

They are basically promoting their products in this course

By Esteban C

Nov 16, 2022

Very IBM oriented and too much information for a beginner

By Abraham Z

Dec 31, 2019

The course needs to be updated to match IBM Watson Studio

By Ruby C

Nov 21, 2019

IBM Watson Studio material needs to be update for sure...