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Open Source tools for Data Science に戻る

IBM による Open Source tools for Data Science の受講者のレビューおよびフィードバック



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, RStudio IDE, Apache Zeppelin and Data Science Experience. 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 Cognitive Class 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 Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....



Apr 25, 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!!!!


Feb 01, 2019

All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.


Open Source tools for Data Science: 301 - 325 / 1,833 レビュー

by Parshad S

Feb 06, 2020

Great course to get familiarized with the available tools for Data Science beginner.

by Vivek k

Dec 28, 2019

Amazing course and I have learn how to work with open source tools for data science.

by Shan C

Sep 22, 2019

Rich content, yet easy to follow and understand for a beginner without any knowledge

by Carlos C G

Oct 29, 2018

Very good introductory course to some basic and important tools for data scientist.

by sherryz

Sep 17, 2018

Very useful introduction for the tools in the Watson studio and Cognitive Class Lab.

by uttam g

Oct 20, 2019

Great to start with Data Science tool,about open source data tool working ,features

by Hadi S

Jun 14, 2019

This course helped me to extend my knowledge of Open Source tools for Data Science.

by Padmanabha K

May 24, 2019

Course was an intro to various tools available for exploring in data. Good overview

by liushuang

Apr 22, 2019

open source tools can make me to code at evey where just only needing a comcupter.

by Hong W

Dec 05, 2019

Good to learn some popular open resource tools especially for the IT dumb like me.


Nov 05, 2019

It is best course for beginners. The things are explained by most simplified way.

by Anirudh

Feb 21, 2020

Absolutely loved it .A very good Course which makes learning a joyful experience.

by Jaime F

Feb 16, 2020

Introduces the sources used in Data Science in a very easy but applicable manner.

by Adierson M F

Feb 11, 2020

Really good program for learning truly useful open source tools for Data Science.

by colin f

Jan 27, 2020

Good short introduction to using notebooks across various data science platforms.

by EL I M

Oct 31, 2019

Thank you for the great content, keep improving if there's any room for doing so.

by Guanming S

Jul 13, 2019

The IBM Skills Network Lab keeps disconnect and is insanely slow. It's stupid af.

by Gabriela A R R

Mar 19, 2019

Excelente curso para tener una visión general de las herramientas en Data Science

by Simon B

Oct 05, 2018

Useful intro to the tools & good to get access to the free IBM Cloud environment.

by Raja K

Jan 09, 2020

This give the basic understanding on tools and programming used in Data Science.

by zhou z

Dec 29, 2019

I never expect to learn so much in this course before I enrolled and learned it.

by Abdullah N

Dec 11, 2019

Very Benificial Course it helped a lot to start me with Python and Data Science.

by Angshuman S

Sep 21, 2019

Thanks IBM and Coursera for helping me fall in love with data science once again

by Marco A R R

Sep 18, 2019

I like very much this course, I goint to recommend this course with my partners

by Henry T W J

Sep 10, 2019

Good starting platform. Strongly recommended to others who are interested in it.