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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

4.6
13,892件の評価
1,817件のレビュー

コースについて

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....

人気のレビュー

RR

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!!!!

MA

Nov 29, 2019

This course helped me finding open source tools. I knew about Jupyter Notebooks, but I also got to know more tools. Further, I got IBM subscription too, it would definitely help me in my work.

フィルター:

Open Source tools for Data Science: 326 - 350 / 1,808 レビュー

by pranav v

May 18, 2019

please provide more videos on how to work in IBM watson studio.i had a hard time

by Ankush L

Jan 13, 2019

This course was useful in teaching all the basic tools required for data science

by Jayesh M

Jan 19, 2020

This was a great introduction to the open-source tools available in the market.

by Laxmi Y

Nov 30, 2019

This is a basic course for a beginner level learner to get hang of Data Science

by Austin H

Oct 26, 2019

Brief introduction for where to find and how to use the open source data tools.

by Chinmaya R

Sep 04, 2019

Course so far so good. The course navigation on Coursera is not up to the mark.

by ATHANASIADOU E

Aug 05, 2019

Very good for beginners. Overview of the open source tools to get familiarized.

by Greice M N

Feb 27, 2019

Os vídeos precisam ser atualizados para acompanhar a nova versão da plataforma.

by Manoj K P

Feb 06, 2019

Easy and fast way to learn the introduction of the cloud tools for data science

by Moyo J

Feb 21, 2020

I learnt something new order than Jupyter Notebooks, learnt Zeppelin Notebooks

by Zhenbo L

Oct 07, 2019

Great online Data Science course, open my view about the data scientist world.

by Rajasekaran G

Apr 29, 2019

Kindly update the videos in the course to match the changes in IBM watson site

by Juan A

Mar 11, 2019

Excelent Course. Very practical, a different course . Very Fast and intuitive.

by Luis A P G

Nov 28, 2019

An excellent introduction to IBM Watson, RStudio, Jupyter notebooks and more!

by LAURA T G

Oct 07, 2019

Very useful

I had to work really hard, so I've got so much knowledge from here

by Kolukulapalli V

Oct 04, 2018

Very useful open source tools that can be used for data science and analytics

by Filipe A d M S

Oct 17, 2019

This course gave me an excelente base to start doing more jobs in this field

by Sukrut D

Mar 23, 2019

Excellent Course it gives all basic information about tools for data science

by ShuTong

Nov 27, 2018

very good content. Now I have more knowledge about open sources. SO amazing.

by Vincent L

Sep 13, 2018

Great overview of the tools we'll be using in the rest of the certification.

by Vibhor G

Jan 15, 2020

Best Course for starting and have a look at the basics of coding languages.

by Venkatasai M G

Jan 07, 2020

Good course for better exposure in open source tools used for data science.

by Stephen H

Aug 09, 2019

Easy to learn and great tools that I had no idea existed until this course!

by ozan a

May 20, 2019

It gave a good basis on what kind of tools are being used for data science.

by Chris G

Jan 02, 2019

Excellent introduction to relevant open source tools used in Data Science.