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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,245 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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2801 - 2825 of 4,610 Reviews for Tools for Data Science

By Ilse B Z M

Dec 13, 2018

The videos are less friendly than the first course, but they are condensed, explicit and quick to put hands to work!

By Samantha S

Apr 19, 2020

This is a brief introduction, so there is not much detail, however it does provide an awareness of available tools.

By pp s

Apr 18, 2020

course is based on old interface of IBM Watson. this will create confusion for the learner in understanding process

By Tu T

Feb 23, 2020

The video should be updated together with the IBM Watson. It is difficult to follow the lesson and do the exercise.

By Eric N

Apr 30, 2019

Would be even better if they had updated the content along with the update of the new Watson Studio user Interface.

By Shankar B

Jun 4, 2020

The instructions are a bit complicated for the rookies. Could be a little slower and simpler. Great work otherwise

By Mahesh L D

May 26, 2020

Learn new open source data science tool like Jupyter notebook, R studio. good practical hands on Jupyter notebook.

By Nitin A D

May 22, 2020

Great course to get the knowledge of different tools available for working with data science and machine learning.

By Md H H

Feb 8, 2020

Great Introduction to the Open Source Data Science Tools. But I would expect the tutorials to be easier to follow.

By Roberto M

Nov 17, 2019

They need to upload the new videos, because the videos are with the old version which is very difficult to follow.

By Prasanna K

Aug 3, 2019

it is very entry level course and lucidly explain. I would suggest to improve the difficulty level of this course.

By Marco

May 11, 2019

i could not get access to the same screen as the one showed in the video.

maybe it's me, maybe it has to be checked

By Nugraha S H

Mar 21, 2020

The videos need to be updated. The interface in watson studio is completely different to the one from the videos.

By Eglė T

Jan 26, 2020

The course information is outdated and difficult to follow. Other than that, great overview on open source tools!

By Prajeesh R

Jul 10, 2019

This resource on open source tools on data science is good, but it's kind of outdated video. Rest all are perfect

By Kate O

May 9, 2019

This course provided a good introduction into open source tools for data science, including some basic tutorials.

By Will H

Apr 9, 2024

Some of the videos and plug-ins were outdated but the overall course was a great introduction into data science!

By sibriu a

May 14, 2023

course is well structured and the thing is that i recommend is to bring in a human being to deliver the material

By Peter M

Jan 16, 2022

Great course with amazing content, however kindly update the video content to suit the updated IBM user display.

By Patricia P

Apr 18, 2020

Had some difficulty sharing my class project in Juypter notebook on Watson, but otherwise very rewarding course.

By Partha S D

Feb 17, 2019

Only tools related to IBM were discussed. I was expecting some videos on installing and configuring those tools.

By Xinyue L

Jan 18, 2019

Good introduction of open resources, though some contents are outdated and caused some unnecessary waste of time

By Parvathy D

Dec 15, 2020

It was fun to get a hands-on experience! It broke all the misconceptions and fears I had towards data analysis!

By Jude S D S

May 6, 2020

Good course. learned a lot about open-source tools for data science, the only bad thing is videos are outdated.