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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

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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3026 - 3050 of 4,751 Reviews for Tools for Data Science

By Tuna M

Mar 23, 2019

It would better if the course is updated with the latest interface of IBM Watson Studio

By Bartosz B

Mar 12, 2019

Good clarification of tools. Maybe some emphasis on how those tools will work together.

By Ige T

Sep 12, 2020

Great course if you want to learn about the tools necessary in the data science world.

By Jose J

Sep 11, 2020

A few of the week 4 videos were a little difficult to follow the information provided.

By Mohammed H M A

Jun 22, 2020

very nice course but need more improvement in term in that it is dealing with beginner

By Giorgio M

Apr 24, 2020

Interesting

Straight to the point

Maybe some more example on Watson would be appreciated

By Ashique B Y

Apr 4, 2020

Some course video and links should be updated, i assume. Overall great course. Thanks.

By Anand s

Feb 27, 2020

It is very helpful course to learn basics of open sourse tools or IDE for data science

By Borsali F

Nov 14, 2019

Good for knowing Open Source (and online / no need to download) tools for Data Science

By Vasu N

Jul 11, 2019

Basics of Jupyter Notebook were clear but zepplelin notebook was not that much cleared

By Héctor C

Mar 18, 2019

Good course and good explanations although an update on the content would be welcomed.

By Fayaz O

Feb 7, 2019

Good overview of the different web-based platforms available to practice data science.

By Ewa H

Sep 12, 2018

Great course. One star less for all the difficulties with logging in to Watson Studio.

By KESHAV S

Mar 4, 2024

Course has assignment and lab for hands on experience and teaching is also very good.

By Zsolt S

Nov 11, 2022

You must create a new version of these video because the cloud app is newer versions.

By Fiza M

Jan 17, 2022

I liked the course but at some steps the the explanations were not beginner friendly.

By Micah K

Oct 28, 2021

Watson studio has a different interface now compared to when this course was created.

By Saju F

May 22, 2020

good course for the beginners who want some hands-on experience in data science tools

By Srinivasa R S R

Feb 4, 2020

Course was well laid out. Systematic and detailed. helps any new bie to Data Science.

By Asma A

Oct 30, 2023

extremely heavy course to go through i spent ages on it. but learned alot! thank you

By Eugénio M

Sep 24, 2020

Some videos are not very clear, the sound is awful and the sequence is not adequate.

By Ninad M K

Jul 5, 2020

This course basically explain the tools for data science.And it is pretty much cool.

By Gisella B

Feb 25, 2020

Hay videos desactualizados en la semana 3 y me costó poder seguir las instrucciones.

By Tony L

Jan 20, 2020

High-level introductions of the common data science tools and analytics environment.

By Xiwen L

Oct 29, 2019

Nice intro to different tools. If only it gives more examples or exercises to drill.