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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,168 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

ED

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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2676 - 2700 of 4,596 Reviews for Tools for Data Science

By Cornelis B

Mar 21, 2020

A good overview but the videos need to be updated to reflect the way the platforms look right now as they've been updated since the course was create.

By Lapaev M

Aug 21, 2019

Text information in videos about RStudio wasn't always in correspondence with thing were done on screen, and in my opinion it can be improved overall.

By Barış O

Dec 10, 2023

it have lots of information however this informations is not enough to learn the fundamental even the general knowladge. and everything is mixed here

By Gaadha J

Jan 19, 2021

I feel very excited to gain more knowledge. It become very interesting as I go through each course. Thank you Coursera for your support and guidance.

By Muhammad U A

Jul 13, 2020

It was overall a good course but it felt a bit outdated. I think it can be improved by including modern tools and not focusing so much on IBM Watson.

By Martín r

May 17, 2020

Good starting point into what Notebooks are, and what you can do with them. I only wish the assignments went more in depth into the tools and coding.

By Kris O

Mar 7, 2019

Good overview of tools that are used. Still basic information but starting to become more technical if you are apart of the IBM Data Science course.

By Imran R

Jan 6, 2019

Overall course was very short but it was good to know the basic knowledge of tools integrated with IBM Watson such as Notebook, RStudio, Spark.etc

By Sam S

Mar 1, 2022

A very good intro to the tools used in data science, good hand-on. The Data Refinery lesson could have been better explained, it was rushed thru.

By Cheung N L I

Sep 28, 2019

The course material is not up-to-date as IBM Watson Studio is updated, therefore, all the steps are not valid anymore. It is very hard to follow.

By Animesh K

Sep 14, 2019

This course is good but the tutorials for starting project in IBM Watson is outdated. Please upload latest tutorial as creating lots of confusion.

By Stella S M

Dec 26, 2018

Some instructions on setting up an IBM Watson were outdated; getting started info versus what was displayed on the interface did not always align.

By Remy E F

Aug 31, 2018

The IBM Data Science Experience videos need updating since its now IBM Watson. The interface is a bit different and I had to Google how to use it.

By Yatan U

May 26, 2020

The Week 3 Watson Studio has video for the previous version - 'Data Science Experience'. I had difficuly in navigating through the Watson Studio.

By Fabio L d S

Apr 2, 2020

Do we really need to know both Watson studio and Skills network lab?

Maybe it would be best to focus on one platform and explore it more in detail

By Princess M E

Feb 8, 2020

IBM Watson has had many changes. The videos in this course when tackling this project does not match with the current IBM @Watson studio setting.

By Simon M

Jan 13, 2020

I love the source but I hope in the future it wil get more in dept. For a compleet novis like me it's not always as obvious as they make it seem.

By Monica S

Sep 4, 2018

I wish there were more labs and more elaboration as to how to connect these tools to daily activities or useful things to broaden understanding.

By Jorge S

May 15, 2019

Curso interessante e globalmente bem estruturado, com detalhes suficientes para a iniciação nas ferramentas open source que foram apresentadas.

By José A M

Jan 9, 2021

The content used to explain superficially IBM tools (who needs deeper and focused content for each one) could be replaced for more basis info.

By Phil C

Sep 21, 2020

Covered lots of ground. As someone without a CS background it was great to learn more about the tools and terms that are common in this field.

By Nhật M P

Mar 21, 2020

The course's contents are not updated to the changes of tools. I got some bad experience in this course and I had to deal with them by myself.

By Zhaoran Z

Jan 18, 2021

I really like this course and I think I have learned a lot. However, I don't like the peer-view system, because I have received unfair grade.

By Jeffrey B M

Mar 22, 2024

The IBM Watson module is badly out of date with the Watson website. Also I had a lot of trouble with the code to get a free Watson account.

By Nestor C

Sep 25, 2022

The course gives a general description of data science tools, however, I expected the course to be more hands-on; it is a beginner course.