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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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4351 - 4375 of 4,762 Reviews for Tools for Data Science

By Anton v Z

Mar 2, 2020

Really enjoyed the course. Only complaint was that videos are slightly outdated so had to go find up to date tutorials.

By Rodrigo C

Aug 23, 2019

Really short course, the contents are poorly covered, in one lesson the quick quiz didn't even match the video content

By Iordanis C

Mar 25, 2020

inaccurate walk through the tools

there are no supervisors able to check if the peer to peer grading is correct or not

By Spencer J

Apr 7, 2020

Multiple tools referenced in this course either failed to work or totally unavailable at the time I took the course.

By Daniel B

Mar 14, 2020

Unfortunately a lot of this course is dated with instructions that no longer work or dead links. Quite unfortunate.

By Ankit J

Sep 16, 2022

This course needs to apply more practical approach along with object oriented programming in order to be useful

By K L

Nov 19, 2021

There was a challenge with the Skills Network lab throughout the course. It caused a delay in my learning track.

By Alex L

Apr 28, 2019

Videos and text is redundant. Project is too easy. Course should be complete-able within one week, not three.

By Kyle S

Jan 20, 2024

The assignments are poorly written and lack specificity leading to issues in the peer grading. Poorly created.

By Vincent B

Nov 26, 2019

Confusing sections because interfaces presented are different than the current tool.

Needs to to be updated!!!

By Anirudh S

Mar 3, 2020

course videos are outdated. hence its tedious to follow the assignments and software by watching the videos.

By Eduardo D M

Jan 21, 2020

Las plataformas de IBM dejan mucho que desear, tuve muchos problemas iniciando sesión en IBM watson studio.

By Laken B

Apr 6, 2020

Need to update videos. Not the same as current webpage layout.

I love Jupyter Notebooks though!

Keep it up!

By Tony F

Jan 2, 2023

You can learn all this stuff on your own by watching YouTube videos, and you don't have to pay Coursera.

By Deeksha S

Nov 25, 2019

The course is outdated. It was very different to work on it now compared to what is shown in the videos.

By Rimmon G

Jun 24, 2019

Please Update Watson video

very old links and information

the reward link for 6 month promo does not work

By Moatez B B C

Nov 21, 2019

this course is just an overview of 3 basic Data science tools: Jupyter-notebooks, Rstudio and Zeppelin

By nagaraja r

May 21, 2021

Assignments were with the queries which were not covered and i had go through the google to answers.

By Sagar G

Feb 26, 2019

Week 3 has a lot of problems in creating account with IBM Watson Studio and following the videos.

By Gustavo A N G

Sep 14, 2020

Video resources are not good. Some comments for improve the course are related on week 2 forum.

By Michelle H

Jan 9, 2023

Not very clearly written. Instructions for tasks in outside programs are extremely confusing.

By Luai A

Oct 6, 2022

Too many lessons about the used tools without explaining the data science basics behind them

By Paul E

Feb 24, 2022

Thr IBM resources referenced were not accessible. Too many errors on links for course tools.

By Heather L

Apr 24, 2022

Some things are outdated and hard to follow. Could have used more repitition for learning.

By Pranit M

Jan 11, 2022

Was not able to access Watson Studio. Had a lot of trouble completing the final assignment.