Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,106 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 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.

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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3201 - 3225 of 4,751 Reviews for Tools for Data Science

By Roshan P

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Apr 15, 2019

Good that It introduces various tools with the differences.

By Ed S

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Apr 27, 2022

Seems to be heavily skewed towards IBM tools and questions

By Bruna T K

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Mar 1, 2021

Very well explained and support is great. Would recommend.

By Vince T

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Oct 13, 2020

Covered a lot of material, and it's an excellent overview.

By Arie D F

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Jan 23, 2020

The course is fantastic, the video about R is a bit laggy.

By VIVEK S

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Dec 27, 2019

Course is great to kick start your Journey in Data Science

By Prokopenko A

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Mar 18, 2019

Good, but why observing only IBM tools ? Looks like an Ad.

By Akash N

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Dec 25, 2021

Good course to know about various tools of data science.

By Ítalo M L L

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Jul 24, 2021

The content about the IBM tools is overdone and too long.

By Kimberly O

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Apr 16, 2020

The lectures were not updated but the forums were helpful

By Yousef H

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Oct 18, 2019

Update the material with new updates on IBM waston please

By Arunjith M

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Jun 2, 2019

Very poor content on Zeppelin for Scala. Others are good.

By Danial J

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Dec 29, 2022

It would have been better not to focus only on IBM tools

By Jessely E

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Nov 28, 2021

Great informational course but did not give me the badge

By Giuseppe M

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May 4, 2020

good presentation, easy speaking, very funny. Thank you!

By Kelly D

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Mar 2, 2020

I really began to understand the tools for data science.

By Spyros V

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May 19, 2019

a bit of difficult to connect to Data Science Experience

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