Chevron Left
返回到 Open Source tools for Data Science

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

10,843 个评分
1,345 个审阅


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.


101 - Open Source tools for Data Science 的 125 个评论(共 1,328 个)

创建者 Shashikesh M

Jan 19, 2019

Great course content. little bit robotic.

创建者 Abhishek I

Jan 20, 2019

Really great course !.

创建者 Obong G

Jan 18, 2019

great course, hands on practice with tools in DS

创建者 BALU

Jan 20, 2019

it was great learn center


Jan 08, 2019

It is one of the best course to learn various data science workbench

创建者 Luis H

Jan 09, 2019

The information is clear and allowed me to complete all the activities, just be aware that the IBM tool is not upgraded in the course so research and web navigation is mandatory.

创建者 Chinmay K R

Jan 09, 2019

very nice and easily understandable

创建者 Julian A S

Jan 21, 2019

Pretty simple, but pretty good.

创建者 Leonel V

Jan 21, 2019

Great introduction to open source tools!

创建者 Brandon S

Jan 10, 2019

Great course, interesting starter kit for IBM offerings.

创建者 Andrew F

Jan 09, 2019

Great course - thank you!

创建者 Lisandro O

Jan 09, 2019

Very nice and interesting course. I learned a lot about the tools required to work in Data Science

创建者 Utkarsh Y

Jan 11, 2019

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

创建者 Mahesh K

Jan 22, 2019

Very informative, precise and encouraging.

创建者 Bakyt N

Jan 22, 2019

Very good introduction to various tools with emphasis on IBM tools

创建者 Glener D M

Jan 22, 2019

I learned how to use Jupyter Notebook in the IBM Data Science Experience and practically with its proficiency in preparing a notepad along with the Markdown recording.

创建者 Yves G

Jan 23, 2019

Introduction of plenty of useful tools

创建者 Mayank A

Jan 24, 2019

This course of Open source tools for data science was very helpful in knowing about the tools and technologies which are used in data science techniques.

创建者 Varun S

Feb 09, 2019

Great course to experience different data science softwares virtually

创建者 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!

创建者 Mahmood H

Feb 19, 2019

This course is structured well, easy to understand instructions along with step by step guidance.

创建者 Nhan T N

Feb 19, 2019

This Course is nice for overview of open tools including free and premium coding environment that support user so much in studying, practicing and developing code for data science.

创建者 Amir A A Y

Feb 11, 2019


创建者 Mohamed G F

Feb 12, 2019

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


that's the place you should be there

创建者 Mario P

Feb 13, 2019

It was great to discover Zeppelin and the IBM Cloud