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Learner Reviews & Feedback for Tools for Data Science by IBM Skills Network

4.5
stars
24,406 ratings

About the Course

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. 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. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

GC

Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

AJ

Sep 15, 2020

Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.

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601 - 625 of 3,918 Reviews for Tools for Data Science

By Appala N

Apr 30, 2019

all about basics of languages Pyton jupitor notes, Zepplin, R studio and IBM watson studio

By Nguyen V L

Mar 4, 2019

The course is good. However, there are some lessons whose links/platform should be updated.

By Keelan K

Feb 18, 2019

Great intro to the various open source tools in a well structured and easy to follow format

By Fitsum M

Jan 5, 2019

You will be acquainted all you need data science tools in the market. Perfect and organized

By Somaiya J G

Nov 6, 2018

Amazing, before this course I was only aware about Jupytor notebooks, this helped me a lot.

By Rinat L

Nov 30, 2021

A comprehensive course which explains about basic tools used in the world of data science.

By Rafael A O

Nov 8, 2021

A wonderful course. Learnt a lot and will go on with other courses immediately. Thank you!

By Behnam Z

Jun 4, 2021

The course was so useful and helped to have a better understanding of Data Sciuence tools.

By Ajin

May 28, 2021

Superb course. From basics to the advanced in a step by step manner. Love Coursera and IBM

By Hongyi W

Jan 6, 2021

This course is very helpful. It helped me to be familiar with basic tools in Data Science.

By Mo R

Oct 27, 2019

This course is a useful introduction to useful tools for applying data science techniques.

By Emmanuel B

Aug 19, 2019

This is a very good course, provides great alternatives to traditional data science tools.

By Alfonso D

Jul 23, 2019

Very good course, useful to understand all the tools a data scientist use in the IBM cloud

By Sadiq S H G

Mar 31, 2019

Very Good Course.

I would like to thank the lecturers.

I also want to thank (Coursera- IBM).

By Javier G H

Dec 29, 2018

Good course in general. It's great to have access to so many free tools, including watson.

By Mostapha H

Sep 22, 2021

F​antastic overview that structures your thinking on the available tools for Data Science

By Fernando C A

Sep 8, 2021

Is a good curse to know any kinds of tecnologies, frameworks and tools to work with data.

By Kenneth T

Sep 3, 2021

It was an eye opener to what is possible by building and deploying AI and Machine models.

By Nathalia P

Sep 5, 2020

Great curse! I really learned how to use the tools and understood how important they are.

By Gokulakannan S

May 2, 2020

Loved the course but the course must be updated because the UI of IBM Watson has changed.

By Matt H

Mar 22, 2020

I enjoy the thorough instructions while enabling curiosity and going further individually

By Rajib M

May 13, 2019

Very nicely explain and brief information related to Open source tools for Data Science.

By Ferenc F P

Feb 26, 2019

Good introductory course to different open source tools which are used by data scientist.

By Jagajith M K

Aug 9, 2018

Beautifully explained the working of the Jupyter Notebook, RStudio, IBM Watson, Zeppelin.

By Riki

Sep 18, 2020

very useful and easy to understand for someone who is not from computer or IT background