Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,117 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

Aug 29, 2020

This course is awsum and well explained. Some portions needs to be updated based on the current platforms. i.e Lab instructions should be inline with the current screen, e.g. Watson Studio.Thanks !

Apr 24, 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

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1776 - 1800 of 4,931 Reviews for Tools for Data Science

By Ninad K

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Jun 25, 2024

great course but slow paced

By KELLY M

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Jul 12, 2023

Awesome learning experience

By Sicheng G

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Apr 19, 2023

课程不错，包括了基本的一些工具，平台等，能开阔一下思路

By zhihan c

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Oct 20, 2022

Very knowledgeable course!

By Brandon H

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Oct 8, 2022

Really learned a lot here.

By KITTIN T

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Apr 16, 2022

it is good for introduction

By Domingos L P M

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Apr 9, 2022

This is an excellent course

By Keith L B

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Aug 2, 2021

Quizzes and test are tough!

By Arpan C

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Apr 4, 2021

Please review my assignment

By lilian c

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Mar 1, 2021

This course is very helpful

By Nikka T P

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Nov 16, 2020

Provided nice lab exercises

By MD. O Q S

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May 11, 2020

Very Helpful course for me.

By Allen H

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May 6, 2020

I love this program so far!

By Erin K

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Jan 19, 2020

Really great introduction!!

By Ayush C

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Dec 11, 2019

by this course i learn alot

By Dominik O

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Oct 17, 2019

Nice material and examples!

By Ayushh S

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Oct 4, 2019

Good to learn from coursera

By shubham b

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Sep 29, 2019

Amazing learning experience

By Daniel T

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Jun 11, 2019

It's all about open source!

By Ekta S

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Apr 28, 2019

Great course for Beginners!

By Kasun S

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Oct 30, 2018

Very well structured course

By TULANI G

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Apr 24, 2025

A well-constructed course.

By Natālija R

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Feb 8, 2025

Thank you for this course!

By Lucas D S N

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Aug 18, 2023

Great course, i'm so happy

By Ayush k

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Aug 3, 2022

very helpful for my future