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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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2801 - 2825 of 4,596 Reviews for Tools for Data Science

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The course information is outdated and difficult to follow.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 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.

By Hemanth V

Jul 18, 2019

In last week, I think videos has to be updated, as IBM watson studio UI has changed for Data Science Experience

By Nicholas J F

Apr 19, 2019

This is a good course, but they really need to update the screen shots to be up to date with IBM Watson Studio.

By Jason C

Feb 4, 2024

Course was pretty good, the lesson on R was very glitchy and the code for visualizations kept throwing errors.

By leonel j c t

Jul 2, 2019

It was a nice course but I also felt like I should have had some previous knowledge which was a bit confusing.

By Bhavith K R L S

Aug 1, 2019

good course but in videos there are old version explanations, but there are explanations in discussion forums

By FIGL

Jun 14, 2022

Very interesting; there are so many tools. there should be more labs; minimaly 1 per tool available on IBM.

By Carlos A C G

May 13, 2020

There are some outdated material, but after a quick search and common sense you can continue without issues.

By Diego G G

Nov 18, 2019

Somewhat advanced for some users, more exercises on writing code would be extra useful.

Overall great course.

By Doug P

Mar 23, 2019

was good, but it seemed somethings were missing, also that the courses did not match the actual tools well.

By Peter v L

Nov 28, 2018

Though really IBM-tools centric, this course was a good introduction to various open source tools available.

By Muhammad H E

Dec 12, 2023

Excellent Course Provided by IBM through Coursera but AI voice makes my mind sick to understand it properly