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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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3851 - 3875 of 4,763 Reviews for Tools for Data Science

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.

By Ismail S M

Jan 16, 2021

Assignments can be improved, they're parallel with course goal but learning about specific tools is a bit boring.

By Carlos D

Sep 10, 2020

This course shows so many tools, but at the same time, you learn nothing. It so much content, but so little depth

By Sayak C

Jul 20, 2019

The course could have been better if the presenter could have been in sync with the latest versions of software.

By Maciej L

Apr 4, 2019

The old videos do not preset properly the steps one needs to take to create and configure the account in Watson.

By Melvin W

Sep 12, 2020

It is really focussed on IBM specific cloud tools. I would have liked at least one alternative as a praxis lab.

By Adetunji O

Jan 31, 2020

Please update the videos to reflect the updated IBM Watson studio's new look.

Besides that, the course is solid!

By Justin B

Nov 7, 2019

Good info, but the videos are out of date. If not for actually learning, I wouldn't recommend as a paid course.

By Eddie K

Nov 21, 2022

Very informative, especially the basic programming on Jupyter. However, daunting with all the programme names.

By Rafael M

Jul 25, 2021

Sometimes not consistent. Lectures on Git were terrible.

I liked introductions to Jupyter, R and Watson Studio.

By Eleanor D

Apr 18, 2020

The section on IBM Watson was very poor - the desciption in course was misleading and nothing like actual tool

By Олег Я

Oct 27, 2019

The course is very interesting, unfortunately the instructions and videos do not contain relevant information.

By Nicolas G

May 27, 2019

The Interface for Watson studio has change and the videos need to be updated in order to facilitate the course

By Ameya P

Aug 9, 2020

A lot of the information was bulky and random with no prior step by step explanation of how to use the tools.