Altavoces

Filip Schouwenaars
VP of Engineering DataCamp DataLab
Ver portafolio

Más información

¿Entrenar a 2 o más personas?

Obtenga acceso de su equipo a la biblioteca completa de DataCamp, con informes centralizados, tareas, proyectos y más

Live Code-Along: Introduction To Workspace Teams

April 2022

Summary

DataCamp's latest webinar unveiled the Workspace, a shared cloud-based notebook created for data analysis and teamwork. The tool makes the process of data science easier by removing the need for software installations, providing ready-to-use datasets, and enabling shared work similar to Google Docs. Phillip Showanars, the developer behind many popular DataCamp courses, demonstrated Workspace's practical uses, such as creating data science portfolios and shared projects. Attendees were guided through a practical session to examine Workspace's features, including data analysis, visualization, and publication. The webinar also spotlighted Workspace's specific advantages for educational institutions and non-profits under DataCamp for Classrooms and DataCamp Donates, offering free access to advanced features. The session wrapped up with a Q&A, addressing technical abilities and future enhancements of Workspace.

Key Takeaways:

DataCamp Workspace is a cloud-based notebook that aids data analysis and teamwork.
Workspace provides pre-loaded datasets to assist users in honing data science skills.
Shared features enable users to distribute, modify, and publish work effortlessly.
Users can develop data science portfolios by publishing their work.
Workspace offers increased resources for educational and non-profit groups.

Deep Dives

Workspace Features and Benefits

DataCamp Workspace makes the data analysis process easier by providing a shared, cloud-based environment. It removes the need for users to install software or manage dependencies, making it accessible directly thr ...
Leer Mas

ough a browser. The platform is packed with ready-to-use datasets, allowing users to immediately start working on data science projects without the need to source data externally. Phillip Showanars highlighted that Workspace is similar to an "IDE in the clouds," offering a smooth experience for coding in Python and R. The platform's shared features are particularly noteworthy, enabling users to distribute and modify projects much like Google Docs, promoting a community-focused approach to data science.

Workspace for Educational and Non-profit Use

Workspace is designed to support DataCamp's educational and philanthropic initiatives, namely DataCamp for Classrooms and DataCamp Donates. These programs offer free access to Workspace's advanced features, including increased CPU and memory allocations and the ability to create group workspaces. This accessibility is important for educational institutions and non-profits, as it allows teachers and group leaders to distribute assignments and collaborate on projects without incurring additional costs. Users can effortlessly create and distribute assignments via public GitHub repositories, simplifying the process of distributing customized educational content. Phillip noted, "For the members of the classrooms and these DataCamp Donates, we have given workspace teams for free," highlighting the commitment to supporting these communities.

Creating Data Science Portfolios

One of the standout features of Workspace is the ability to create a data science portfolio. Users can publish their workbooks, transforming them into static, shareable publications that showcase their skills and projects. This feature is particularly advantageous for learners and professionals aiming to build their online presence and demonstrate their expertise. Workspace's one-click publish tool simplifies this process, allowing users to easily add their publications to their DataCamp profiles. As Phillip explained, this functionality assists users to "build out a repository of all of the cool things that you can do," effectively creating a digital portfolio that can be shared with potential employers or collaborators.

Shared Projects and Real-world Application

The shared nature of Workspace is designed to mirror real-world data science workflows, where teamwork and project sharing are essential. Users can invite others to view, comment, or edit their workspaces, enabling smooth collaboration. This feature is especially useful in educational settings, where students can collaborate on assignments and projects in real-time. Phillip demonstrated how Workspace supports this interaction by allowing users to "create a workspace, invite others to edit and comment," thus facilitating a shared learning experience. The platform also supports the integration of SQL for querying databases, making it a versatile tool for complex data projects.