Open Source tools for Data Science

开始时间: 08/01/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 其他类别

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/open-source-tools-for-data-science

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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.

数据科学的开源工具:什么是最受欢迎的数据科学工具?如何使用它们?它们的功能是什么?在本课程中,您将学习Jupyter Notebooks,RStudio IDE,Apache Zeppelin和Data Science Experience。您将了解每种工具的用途,它们可执行的编程语言,功能和局限性。借助Cognitive Class Labs上云中托管的工具,您将能够测试每个工具并按照说明在Python,R或Scala中运行简单代码。要结束本课程,您将使用IBM Data Science Experience上的Jupyter Notebook创建一个最终项目,并展示您准备笔记本,编写Markdown以及与同行共享工作的熟练程度。 限时优惠:订阅仅需每月39美元,即可访问分级材料和证书。

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What are some of the most popular data science tools, how do you use them, and what are their featur

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