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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,204 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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4676 - 4700 of 4,770 Reviews for Tools for Data Science

By Jahir s

Oct 13, 2022

IBM CLOUD BLOCK ALL THE PLATFORMS THAT USE LITE ACCOUNTS FROM THE LINK COURSERA

By David E G O

Mar 22, 2021

Ingrese a la direccion web indicada y no concuerda con lo indicado en el curso

By Michael I

Sep 14, 2020

Mi certificado no aparece el nombre de IBM en grande solo se ven rallas azules

By Alex L W C

May 15, 2020

The instructions of the videos for completing the graded project are outdated.

By SHRAVAN S

Aug 13, 2023

One of the worst task in peer assigment task to upload screenshot of notebook

By M F

Jun 1, 2022

It wasn't that organized. Things mixed up. I am not happy with this course.

By Jianfei Z

Jan 20, 2019

Not too much things introduced. Just let you open an account in IBM cloud.

By Giancarlo M

Jul 10, 2020

Poorly explained. The Git hub part needs to be rethought. Disappointing.

By Pablo A G

Nov 26, 2022

Tools have changed from the ones described in the videos and lectures.

By Damir K

Jul 3, 2023

The extent of superficiality of this course makes it totally useless

By Allentine P

Dec 4, 2020

The worst course I ever take. outdated, not informative, not useful.

By Alice H

Feb 3, 2019

Instructions to resolve the outdated videos are out of the sequence.

By Gajendra R

Sep 23, 2018

Bit improve it by including some short of practice lab with example.

By Ahmed N

Jul 12, 2020

Very unorganized course , it can be represented in much better way

By mark g

Sep 7, 2018

Difficult to follow as the Jupyter Notebooks have been deprecated.

By Rafael P S

Oct 28, 2021

Poor content. It's really just an advertisement for IBM products.

By Enrico C

Apr 12, 2020

impossible to conclude because of the videos that are not updated

By Akshay P

Jan 31, 2024

The peer review took all the fun and hardwork out of this course

By John T

Nov 23, 2023

submitting projects to be graded by students should be optional.

By Arvin E

Apr 4, 2020

Videos are not updated that's why many learners are complaining.

By micheal a

Feb 24, 2019

the cognitive labs isn't working the website setup has changed

By Johannes

Mar 28, 2021

Too many tools without PRACTICE are not useful for learning!

By Bryce M

Oct 24, 2020

the IBM website is not working and I can't finish the course

By Md. R T S

Feb 15, 2020

Outdated Tutorials. Very Difficult to figure everything out.

By meron d

Feb 26, 2019

outdated course in comparison with the IBM data experience.