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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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3501 - 3525 of 4,751 Reviews for Tools for Data Science

By Bharat G

Sep 23, 2024

good!

By Mohamed G

Sep 12, 2023

great

By Sahil R

Aug 25, 2023

Good!

By Pritam G

Aug 23, 2024

Good

By ADJEGUEDE A

May 29, 2024

cool

By Mubarak M

Mar 2, 2024

good

By 2303C 5

Dec 4, 2023

GOOD

By Appasami G

Oct 17, 2023

Good

By Sumanta D

Aug 18, 2023

Nice

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Apr 9, 2023

good

By Lizeth C

Apr 28, 2022

Good

By dharshini t

Jul 18, 2021

Good

By Gundlapally V S S R

Feb 26, 2021

good

By Muhammad S A

Sep 22, 2020

nice

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Aug 16, 2020

good

By Chukwuemeka O

Aug 11, 2020

Nice

By VISHNU T B

Jun 25, 2020

Good

By Prashant P

Mar 29, 2020

good

By ATHIPATLA S N

Feb 20, 2020

nice

By Krishna K

Aug 31, 2019

nice

By lokesh s

Jul 8, 2019

Good

By Aswanth

May 9, 2019

good

By Nigel D

May 27, 2020

...

By Justin E

Nov 6, 2022

Week one and two were not bad, one complaint I have with week one on two were the overwhelming amount of tools mentioned in the videos which are quizzed on. It feels more like being tested on memory. I don't think my memory is bad or anything, but I just feel like it is irrelevant, but I do understand why they're mentioned in the videos, it's just the quizzes. Other than that, week one and two were not bad.

As for week 3, wow. Week 3 was convoluted. Major problem I had with week three is that the videos are outdated. I do think Watson Studio is a great resource to use, especially if you want to work for IBM, but it was confusing to figuring out how to sign up for IBM cloud for free unless you looked at the forums beforehand. There should be a disclaimer or something to give learners a heads up to read the forums before doing anything; however I don't know if you can do that currently on Coursera, would not fault the staffs or moderators if it isn't possible to do on the platform. I've seen some learners stressed regarding to signing up and using IBM Cloud. Not only signing up on IBM Cloud was an issue, it was also the interface change that is confusing to navigate for me and others. Other than that I've got everything out of the way and managed to complete week 3 and this course without being stressed out over these problems.

Anyways, continuing on the next courses and acquire the goal to get the certificate despite the problems I had with this course.

By Karen J M

Aug 7, 2019

The basic content was helpful, especially for a beginner. However, it is imperative that the videos be updated to match the current version of Watson. They now show a defunct DSX environment that is very different from the Watson environment being used. One of the videos that the course analytics labeled in a "helping" pop-up comment "Was the most visited and considered important by learners" was the confusing outdated one...no doubt this was the actual reason learners played it over and over trying to make sense of it, not because it was especially valuable for learning. Another suggestion: many of the videos or reading material used a lot of jargon and DS terms as if they assumed that learners already knew these terms. It would be helpful to have an online glossary for each course with short definitions of the terms that are thrown around casually in the early videos, and sometimes defined later in the course (or maybe will be in later courses in the certificate), but that many learners are not familiar with at this point.