数据科学工具

Data Science Tools

Learn about the most popular data science tools, including how to use them and what their features are.

336 次查看
IBM
edX
  • 完成时间大约为 7
  • 初级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

How to use various data science and data visualization tools hosted on Skills Network Labs

How to use Jupyter Notebooks including its features and why it's so popular

Popular tools used by R Programmers including RStudio IDE

IBM Watson Studio including its features and capabilities

How to create and share a Jupyter Notebook

课程概况

In this course, you’ll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can execute, their features and limitations and how data scientists use these tools today.

With the tools hosted in the cloud, you will be able to test each tool and follow instructions to run simple code in Python or R. To complete the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio on Cloud and demonstrate your proficiency in preparing a notebook, writing Markdown, and sharing your work with your peers.

This hands-on course will get you up and running with some of the latest and greatest data science tools.

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