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学生对 IBM 提供的 Open Source tools for Data Science 的评价和反馈

4.6
stars
12,703 个评分
1,613 条评论

课程概述

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....

热门审阅

FM

Dec 28, 2019

This is a great course, but the tutorials are outdated, which may slightly detract from studies. But the course aggregate a lot to my formation and allowed me to know new tools to be a data scientist!

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!!!!

筛选依据:

326 - Open Source tools for Data Science 的 350 个评论(共 1,596 个)

创建者 Troy L Y X

Apr 01, 2019

The opportunities to use Watson Studio for solving problems are endless.

创建者 Siripat W

Oct 31, 2018

It's excited to know another text editor but jupyter notebook, thank you

创建者 Eshwar S

Nov 27, 2019

Exception introduction to the tools and the powerful IBM Watson Studio!

创建者 Exavier H

Sep 26, 2019

This course really honed in on the foundation of data science with IBM.

创建者 Arnab K C

Jul 17, 2019

Excellent way of getting introduced to such amazing data science tools.

创建者 Rohitaksh

Jul 12, 2019

Nice exposure to open source tools available for studying Data Science.

创建者 K. S S

May 29, 2019

One of the best course to look into different data science environment.

创建者 Syed F U

Apr 14, 2019

Awesome Course with awesome instructors. Thumbs Up to Coursera and IBM.

创建者 Indunil M B H

Apr 09, 2019

The course was very well presented. It was a great learning experience.

创建者 Shin-Ing C

Jul 11, 2018

Super useful tools and tutorials that answered my questions for a year!

创建者 James D

Nov 15, 2019

This has truly been an awesome experience for me to continue learning.

创建者 Rushikesh M C

Jul 22, 2019

nice course .

learn about some open source tools which are very useful.

创建者 Katiuska V G G

Jun 13, 2019

Great summary about open tools for Data Science and IBM Watson Studio.

创建者 Dipin D

May 27, 2019

Very informative and easy to understand lectures . Thank you so much..

创建者 Christian H

Jan 12, 2020

thanks a lot for providing the necessary overview over so many tools!

创建者 Nicholas F

Oct 07, 2019

Orientation for the student to some tools used within the profession.

创建者 Varun S

Feb 09, 2019

Great course to experience different data science softwares virtually

创建者 Saptashwa B

Dec 31, 2018

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

创建者 Rubén J R G

Nov 25, 2018

This. Course gives you all tools you will need to be a data scientist

创建者 Baptiste M

Oct 23, 2019

Quite a gap between this one and the first one, taking some momentum

创建者 Pankaj D

Oct 08, 2019

Very simple and helpful course to start with tools for Data Science.

创建者 Carlos F C d S e S

Sep 07, 2019

In this course, I was able to learning how to use amazing IBM tools!

创建者 Alex

Sep 01, 2019

A little outdated video-wise, but otherwise helpful and interesting.

创建者 Momunkulov Z

Aug 29, 2019

Its good course to know basic knowledge about tools for data science

创建者 Jake V

Jul 08, 2019

A great little intro to get the people coding with open source tools