Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,232 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

Jul 26, 2023

The skill share network has a problem that it does not work at all there must be a tutorial course for using it before the actual course startbut aside from that ... the course is perfect for me

Nov 17, 2020

Some of the lab assignments had instructions that didn't line up with how the programs actually worked. This was particularly the case for modular flow where auto-numerics seemed impossible to use.

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3376 - 3400 of 4,957 Reviews for Tools for Data Science

By Debabrata H

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May 16, 2025

Good course materials to learn Data Science from basic.

By Fang W

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Apr 6, 2022

As a paid course, there are too many IBM products ADs.

By Govind D

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Apr 1, 2021

GOOD COURSE- please add OJT Kind of Modules in Training

By Myles A S

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Aug 9, 2020

An interesting and fun course. Possibly a bit too easy.

By Matias F N

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Apr 22, 2019

It could use more practical examples, but great anyway.

By Shrey S

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May 29, 2020

The content for Data Refinery could be improved a bit.

By Jeroen L

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May 8, 2020

Some of the walk-throughs for Watson Studio are dated.

By Vasanthaenian S

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Mar 23, 2020

A good introduction to various Notebooks & easy to use

By shubham g

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Jan 27, 2020

course's final assignment should be little bit harder

By Marco

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Jan 6, 2020

Some of the links to external pages have to be updated

By VIGNESHKUMAR R

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Dec 15, 2019

Interesting course ,learn more basic from this course.

By Corneliu C

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Nov 9, 2019

IBM Watson Data Science Experience needs to be updated

By Alysson C

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Oct 7, 2019

The course is good, but need a update in the IBM part.

By Praveen H

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Aug 27, 2019

Really Amazing flow of training materials. I liked it.

By Parul S M

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Aug 2, 2019

lab videos are not updated to IBM Watson studio else n

By AYUSH A

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May 31, 2019

good for the basic knowledge of the data science tools

By TaotheTaoist -

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Sep 3, 2023

beside Video audio monotone, I have no other complain

By shpu n

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May 28, 2023

There were some inconsistencies in the order of tasks

By ANCY P J

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Jun 27, 2022

This course is much helpful for me to build my career

By Zhao Y

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Jan 28, 2020

Good overview of all the available open source tools.

By Koray A K

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Jan 19, 2020

Needs to update. Some videos outdated but works well.

By Alexander P

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Jun 1, 2019

The exercises could have been a bit more challenging.

By Emmanuel

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May 16, 2019

I liked still I need deep learnig from other sources.

By Burçe B Ş

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Nov 18, 2018

There could be more interactive courses on the tools.

By Jairo S B

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Jan 22, 2021

A very good overview to start a data science program