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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,112 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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3826 - 3850 of 4,751 Reviews for Tools for Data Science

By Ijlal M

Jul 25, 2020

The tutor is extremely difficult to understand. He skips certain important aspects. Plus the course is not properly organized.

By Marco G

May 4, 2020

Nice overview of open source tools available on multiple providers. Lower grades because the IBM Cloud videos are out of date.

By Prashant S

Apr 11, 2020

The course should have included few case studies and more examples on these tools otherwise nice exposure to open source tools

By Portia T J

Jan 5, 2020

Some points are not explained in a clear way. The link provided by course is not working. I had to go to IBM website directly.

By Santiago M

Aug 23, 2019

There are some outdated videos in this course. I think it would be cool if you could to update the videos about Watson Studio.

By Sai T

Oct 21, 2019

Very basic and does nothing more than mention the open source software and their features at a very shallow, and basic level.

By Christie

Dec 16, 2019

It was an OK review of the tools but the course definitely needs updating.

The material is not suited for absolute beginners.

By Bianca P

Aug 9, 2022

some of the videos are outdated and you cant follow step by step but nothing youtube and google cant help you figure out.

By Eva V

Mar 19, 2023

The assigments were not well explained

Also there were two set of different instructions for made the peer-view assigment.

By Alberto M

Jan 24, 2022

It goes very in deep in the tools you can use. But a bit long in my opinion. Wish to have more practical stuff to do soon

By MANIKANDAN T

Jul 1, 2020

Most of the topics are unable to follow. This course doesn't seems to be designed for beginners, It could have be better.

By Xinyi W

Jan 6, 2020

The Waston Studio videos are outdated.

Time consuming to figure it out, esp. when your internet was not that good either..

By Angeliki R

Jul 5, 2022

In week 3 most of the videos were outdated. Watson has a different layout and it was not easy to follow the tutorials.

By Mathijs d G

Jun 22, 2020

Great if you have or will have a job at IBM, otherwise not as interesting since you come in contact with many IBM tools.

By Richard W

Jun 22, 2023

Great introductory course, but does not provide training for the use of the various software in data analysis settings.

By Lebogang M

Jan 22, 2021

The Github modules were rushed and not beginner friendly. Everything else was good though. Great quizzes and assessment

By Susan S

Feb 17, 2019

The data science experience page demonstrated in the video does not match the actual interface. It was quite confusing.

By Alok M

Jan 9, 2020

IBM Watson Studio was pretty confusing and it wasted a lot of time. please improve it. Overall satisfactory experience

By SREEJESH N

Nov 5, 2019

Videos are not upto date so for practice session there was lot of time wasted in just navigating to the right content

By RAGU K

Dec 26, 2018

Easy. You should include more exercises for each too and get students to do some small but real project on each tool.

By Brennan W

Oct 28, 2022

Overall a good introduction to some tools for beginners. Not much actual practice, but that comes in later courses.

By Jeremy H

Apr 7, 2019

This REALLY needs to be updated for IBM Watson studio, the tools are completely different than what are in the video

By Alba P

Jun 21, 2024

A lot of theory and specific resources that are beginning to be left behind (it is necessary to update the content)

By Nourhan N

Feb 8, 2024

very fast paced when it comes to videos its better if the videos are longer than fast that u cant even collect info

By Jimmy G

Jun 24, 2019

Very basic. The IBM cloud advertisements make it feel more like a product endorsement than a real course, at times.