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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 1,218개 리뷰 중 126~150

교육 기관: Jess M

Jan 29, 2019

A lot of this is outdated since the IBM Watson stuff has been completely revamped, and the Zeppelin Notebooks tutorials were difficult to follow, since they seemed to have already been run when I went in, and therefore I couldn't tell what was function and what was output. But it's great to have all these free tools available.

교육 기관: Ashutosh P

Jan 28, 2019

thank you so much sir for creating this course which is very helpful for data science.

교육 기관: Dmytro S

Jan 29, 2019

As before, you are second to none, guys!

교육 기관: Manivannan D

Jan 29, 2019

V

교육 기관: Zakir U S

Feb 07, 2019

Its Great to use Open source tools..

교육 기관: Charles G

Feb 09, 2019

An awesome course that opens one up to a whole new world of tools for doing amazing things with data!

교육 기관: Lawrence K M

Jan 27, 2019

Good introductory course

교육 기관: Abhishek J

Jan 28, 2019

Interesting..

교육 기관: Varun S

Feb 09, 2019

Great course to experience different data science softwares virtually

교육 기관: SHIVAM

Jan 31, 2019

nice course

교육 기관: Valentina F

Jan 30, 2019

excellent!

교육 기관: Matheus L T A

Jan 30, 2019

Great course to learn about open source online tools and the basics on what Data Scientists are using to develop their researches.

교육 기관: Kristoffer H

Jan 31, 2019

Great course for people beginning to learn programming or veterans who just haven't used the various tools of the data science trade.

교육 기관: Ricardo V Q

Jan 31, 2019

EXCELLENT COURSE

교육 기관: Amir A A Y

Feb 11, 2019

perfect

교육 기관: Mohamed G F

Feb 12, 2019

if you want to gain experience about a nice online tools for data science field

then

that's the place you should be there

교육 기관: Ervey G G

Feb 12, 2019

It´s ok, but it is outdated in the last week.

교육 기관: Shashikesh M

Jan 19, 2019

Great course content. little bit robotic.

교육 기관: Parth R J

Feb 03, 2019

very good and intresting course

교육 기관: Rohan M

Feb 02, 2019

It was great

교육 기관: Aljon M M

Apr 02, 2019

Yehey!

교육 기관: Tiffany C P

Apr 02, 2019

This course was a really helpful introduction/refresher!

교육 기관: Polycarp N

Apr 02, 2019

Very exciting to discover and know there that such amazing open source tools for data analysis

교육 기관: Ganesh P

Apr 03, 2019

good course

교육 기관: Jay T

Apr 02, 2019

I really feel like I learned a lot, and gained a significant amount of confidence using these systems.