Chevron Left
Open Source tools for Data Science(으)로 돌아가기

IBM의 Open Source tools for Data Science 학습자 리뷰 및 피드백

4.6
10,057개의 평가
1,228개의 리뷰

강좌 소개

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....

최상위 리뷰

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!!!!

NS

Jun 30, 2019

This course is very nice to understand Python, Zappelin and R Studio basics on code and concepts, in which you will get hands on along with creating a free IBM Cloud and Watson Studio account.

필터링 기준:

Open Source tools for Data Science의 1,239개 리뷰 중 51~75

교육 기관: Isaac Q V

Dec 28, 2018

Easy but powerful

교육 기관: Javier G H

Dec 29, 2018

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

교육 기관: Ankush L

Jan 13, 2019

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

교육 기관: Farrukh k

Jan 13, 2019

very interactive and detailed for a beginner

교육 기관: Utkarsh Y

Jan 11, 2019

The course gives an introduction to the Data Science tools , namely Watson Studio, Zeppelin & Jupyter Notebooks.

교육 기관: Md A R

Jan 15, 2019

Awesome course.

교육 기관: Praveen k

Jan 15, 2019

Good hands on tools !

교육 기관: Daniel P

Jan 14, 2019

Really useful grounding.

교육 기관: Saptashwa B

Dec 31, 2018

Very good course ! But I would love to have a bit harder assignments!

교육 기관: Mateusz K

Jan 01, 2019

Nice review of existing open source tools and free to use web services implementing those tools. Personally I would also enjoy some introduction to either how to set up those open source tools on a personal computer or private cloud.

교육 기관: Rajeshree S

Jan 02, 2019

Good introduction to the various platforms for practicing data science. I liked the peer graded assignment of this course.

교육 기관: B R P K

Dec 31, 2018

Great Course

교육 기관: ThangarajDeivasikamani

Dec 31, 2018

Nice to learn more open source tools

교육 기관: Shahbaz K

Dec 31, 2018

It was great :)

교육 기관: Sparsh K

Jan 16, 2019

Please do check the submission fast.

교육 기관: Leonid P

Jan 16, 2019

very good one!

교육 기관: amr s

Jan 15, 2019

Wonderful

교육 기관: NADIM M

Jan 16, 2019

Very good

교육 기관: Chris G

Jan 02, 2019

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

교육 기관: Haley T

Jan 03, 2019

Great course, I learned a lot about Open Source tools for Data Science! I will continue to use Watson Studio and Cognitive Class labs.

교육 기관: Obong G

Jan 18, 2019

great course, hands on practice with tools in DS

교육 기관: Shreyas

Jan 18, 2019

Good one to start hands on

교육 기관: Sivachandra V

Jan 17, 2019

A Good start for a fresher in Data Science in terms of getting a hands on R studio and Python in the IBM Cloud environment.

교육 기관: Patrícia P A

Jan 17, 2019

São muitos recursos e um mundo de ferramentas. O curso passa pela mais relevantes e propõe atividades práticas em cada uma delas. Muito bom ter este panorama.

교육 기관: JIMOH A H

Feb 15, 2019

Great starter program for data science