Treffer: Easy-to-Use Cloud Computing for Teaching Data Science.
Weitere Informationen
One of the biggest hurdles of teaching data science and programming techniques to beginners is simply getting started with the technology. With multiple versions of the same coding language available (e.g., Python 2 and Python 3), various additional libraries and packages to install, as well as integrated development environments to navigate, the first step can be the most daunting. We show the advantages of using cloud computing to solve this issue and demonstrate one way of implementing it to allow beginners to get started with coding immediately. Using user-friendly Jupyter notebooks along with the interactive capabilities possible through Binder, we provide introductory Python and SQL material that students can access without downloading anything. This lets students to get started with coding right away without getting frustrated figuring out what to install. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Statistics & Data Science Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)