Skip to main content

Speakers

For Business

Training 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more
Try DataCamp for BusinessFor a bespoke solution book a demo.

Live Training: Using Workspace in the Classroom

September 2022

Share

In this live training, we take a dive into DataCamp Workspace through the lens of teachers.

After a brief introduction to Workspace, we zoom in on features like real-time collaboration and duplication and how you can leverage them in your teaching, be it during classes, to power assignments, or to conduct workshops.

Key Takeaways

  • Create, edit and share workspaces

  • Leverage Workspace to power your teaching

  • Leverage Workspace to hand out assignments or conduct workshops


Materials

Summary

DataCamp Workspace is a flexible analytics platform designed to improve teaching experiences by enabling cooperative data analysis and sharing. It provides a cloud-based, browser-accessible setting where users can effortlessly begin working with Python, R, or SQL without installation complications. The platform is particularly useful for educational settings, offering features like real-time cooperation, automatic cloud-saving, and a collection of datasets to facilitate data science projects. Workspace supports both individual and team use, with the latter offering enhanced computational resources and team cooperation capabilities. It allows educators to create and share assignments through workspace duplication, simplifying the distribution of teaching materials. As highlighted by Philip Chaudnoir, VP of Engineering for Workspace, "Workspace is designed to let you focus on doing meaningful work rather than fighting setup issues." The platform's publication feature allows users to transform their analyses into shareable reports, further showcasing their data skills.

Key Takeaways:

  • DataCamp Workspace enables data analysis and cooperation directly from a browser, eliminating the need for software installations.
  • The platform supports Python, R, and SQL, with pre-installed packages to simplify the user experience.
  • Real-time cooperation is similar to Google Docs, allowing multiple users to work simultaneously on the same project.
  • Workspace duplication allows educators to easily share assignments and materials with students.
  • Users can publish their work as reports, improving their data portfolios and sharing insights with others.

Deep Dives

DataCamp Workspace Features

DataCamp Workspace ...
Read More

is a browser-based platform that simplifies data analysis and cooperation. Its main feature is the ability to work in a fully functional analytics environment without the need for local installations. This is particularly beneficial in educational settings, where students and teachers can focus on data projects rather than technical setup. Workspace supports Python, R, and SQL, with commonly used packages pre-installed. This ensures that users can start data analysis immediately, bypassing the usual configuration challenges. Philip Chaudnoir highlights, "Workspace is all about removing barriers to entry and making data analysis accessible to everyone."

Real-time Cooperation and Sharing

The platform's real-time cooperation feature is similar to the experience of working in Google Docs. Multiple users can work on the same project simultaneously, with changes being synchronized automatically. This is particularly useful for group assignments or cooperative projects, where team members can contribute in real-time without the complications of version control systems like Git. "We've brought the cooperative ease of Google Docs to data science, making teamwork simple and efficient," noted a speaker during the session. Workspace also allows for easy sharing of projects, either as view-only or with editing permissions, facilitating a cooperative learning environment.

Educational Use and Workspace Duplication

DataCamp Workspace provides educators with tools to enhance teaching and learning experiences. The platform's duplication feature allows instructors to share assignments or projects with students effortlessly. By creating a template workspace, educators can distribute it to students, who can then work on their own copies without affecting the original. This digital equivalent of handing out paper assignments simplifies the teaching process and ensures that all students have equal access to the materials. The ability to clone workspaces maintains the integrity of the original content while offering students the flexibility to explore and learn independently.

Publishing and Portfolio Building

One of Workspace's standout features is its ability to transform analyses into shareable reports. This publication feature allows users to create polished, web-based reports that can be easily shared with others. These reports can be added to a user's DataCamp profile, showcasing their skills and projects to potential employers or collaborators. This not only improves a user's data portfolio but also provides a platform for sharing insights and receiving feedback. As highlighted in the webinar, "Publishing your work is an important step in demonstrating your data skills and contributing to the data community."


Related

webinar

Live Training: Using Workspace in Data Academies

Learn how to use DataCamp Workspace as part of a corporate training program

webinar

DataCamp Workspace Live Code-Along

Hands-on session: What is DataCamp Workspace, and how can you use it?

webinar

Using Workspace in the Classroom

Join Filip Schouwenaars, VP of Engineering at DataCamp Workspace to explore how you can boost your semester productivity with Workspace.

webinar

Live Code-Along: Introduction To Workspace Teams

Learn how you can do more together with our enhanced in-browser notebook.

webinar

Learning to Application: Bridging the Gap with DataCamp Workspace

Learn how to bridge learning skills with meaningful application using Workspace.

webinar

Running Data Hackathons with DataCamp Workspace

Tune in to cover all key steps involved in organizing hackathons using DataCamp Workspace: picking a dataset, defining the business question, organizing teams, providing feedback, and grading.

Hands-on learning experience

Companies using DataCamp achieve course completion rates 6X higher than traditional online course providers

Learn More

Upskill your teams in data science and analytics

Learn More

Join 5,000+ companies and 80% of the Fortune 1000 who use DataCamp to upskill their teams.

Don’t just take our word for it.