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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,175 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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2626 - 2650 of 4,596 Reviews for Tools for Data Science

By Alex M

Aug 29, 2018

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delivery, it's a shame one section of this course seemed outdated in reference to the materials it was pointing to (when I took it).

which made catching

By Long N K H

May 26, 2020

This awesome course helps me to discover many data science tools. Its content fits for all attendants, including fans of open source tools, to employees of enterprises

By Muhammad Y

Nov 23, 2019

Course Is Fantastic for beginners .But those who are expert in any one tool like jupyter notebook or any other its little confusing but course try to deliver its best

By Nava B ( व

Feb 12, 2019

This is a very good introductory level course to know about various open source tools for data science. It gives idea about R, Python, Jupyter Notebook, Zeppelin etc

By Carolina G F d C

Aug 12, 2020

This part of the course is interesting and I did learn how to use some new tools, but for most of it, it was almost a sales pitch. Saying that, I do love IBM Watson.

By Wirach L (

May 11, 2020

Overall is good, but in the last module which require student to participate in IBM watson studio have a lot of problem such as notebook creation on watson platform

By Greg G

May 25, 2019

I particularly liked the chance to practice with the online tools. The only caveat was that I missed some of the unstructured "work with your own data" exploration.

By Mahesh B

Dec 9, 2018

Course content needs to be updated in case of IBM Watson, there's so much buzz about it. Video tutorials are absolutely inconsistent with the actual UI of the tool.

By Jason A O

Apr 29, 2020

Week three videos need to be updated, Enjoying the content, but the use of the old videos made the last lesson or two harder to follow than was strictly necessary.

By Joseph Z

Jan 5, 2020

An interesting introduction. Some materials are slightly out of date, so know you might have to dig around in the IBM webGUI, but very well laid out none-the-less

By Eduardo R T

Aug 7, 2019

It gives an awesom idea of what kind of tools can a Junior Data Scientist use, in order to learn about it. Nevertheless, some of the chapters are a few repetitive.

By Oladimeji U

Jul 26, 2023

Most of the modules were very great. I would have loved to see those question prompts but there were none. It wasn't easy keeping a steady attention to all videos

By Erick S P S

Feb 10, 2020

It would be helpful to have some extra videos explaining to explain more in detail functions in each of the programs. Apart from that, the content is quite good!

By Chairul A

Jan 19, 2020

Great intro course for the open source tools. However, would be better if there's an optional readings/tutorials for installing some of the tools directly on PC.

By Miguel O

Jul 29, 2019

Some of the options in the videos are no longer available as explained in the DSX Platform, but after looking for them a little I was able to complete the tasks.

By Amanzhol K

Jan 17, 2019

I didn't like because it was based upon previous version of the website. I think it would have been better if the course was up-to-date with the website version.

By Ganesh N

Sep 23, 2023

In my peer graded assignment of this course, total marks assigned is a 25 on 25 by the peer reviewer, but Coursera calculates it as 23 on 25. is there a reason?

By Xing W C

Apr 27, 2022

Very informative, but lack of practice materials. IBM should provide more optional practices for students to work more with the knowledge taught by this course.

By durchfalle

Apr 25, 2020

I enjoyed the start, I docked one start because i would have liked to have seen more even though i knows it is a building process my hunger for more made do it!

By Ross T

Feb 17, 2020

A great overview of the key open source tools out there - I've used RStudio and Jupyterlab in the past so was expecting these, Zeppelin was a pleasant surprise.

By Vitor C

Feb 10, 2020

It's a good course to know more about commons tools that might aid Data Scientists. However, it needs an update on the names and interfaces shown on the videos.

By Katherine N

May 20, 2022

This is an informative and well-done course, but the videos and articles need to be updated to match the current interface on IBM Watson Studio and IBM Cloud.

By Ariel S

May 21, 2020

The course and content were good. I did find quite a few typos in the content and some of the videos were so outdated that it was challenging to follow along.

By Anuar M

Feb 21, 2020

This course need to update the Week3 tutorial as DSX has been replaced by IBM Watson. The example and tutorial are different from the actual lab by IBM Watson

By Manuel A N R

May 8, 2020

Easy to understand and enables you to keep learning about this tools. They have to update some of the videos, because some names and some interfaces changed.