Do I need a subscription to access Sandboxes?
No, DataCamp Sandboxes are available to Premium and Free users. However, while anyone can start using the Sandbox for free, DataCamp Premium subscribers receive weekly recurring tokens.
Can I upload my files to a Sandbox?
No, we will provide you with sample datasets to practice your skills. If you need to work with your own datasets, check out DataLab.
Can I save my progress in a Sandbox?
No, DataCamp Sandboxes are designed to be single-session and saving progress is not possible. If you need to save progress on your projects, check out DataLab, which supports coding in SQL and Python.
What are Sandbox Tokens?
Tokens are the units that give you time to spend in Sandboxes. Tokens can be used as follows:
- Power BI: 30 tokens = 1 min
- Tableau: 30 tokens = 1 min
- AWS: 30 tokens = 1 min
- Azure: 30 tokens = 1 min
- Python with OpenAI: 10 tokens = 1 min
- Python with Bedrock: 10 tokens = 1 min
- Python with Anthropic: 10 tokens = 1 min
- Python: 10 tokens = 1 min
How can I get more tokens?
- Free users receive a one-off 1000 tokens. To get more tokens, you must upgrade to an Individual Premium Learn plan.
- Premium users receive 2500 tokens weekly. To get more tokens, you will need to wait for the weekly credit reset.
You can track your tokens and time until the next reset in the right-hand menu on your Sanbox Dashboard.
Can I share the output from my Sandbox?
No, if you need to share the results of your work, please use our DataLab product.
How many Sandboxes can I work on simultaneously?
You can launch one Sandbox at a given time.
How is Sandbox different from DataLab?
Sandbox and DataLab are both designed to help users practice and apply their skills, but they serve different purposes and cater to different needs.
DataCamp Sandbox offers a straightforward, low-risk environment where users can practice various technologies, including Cloud, Data Warehouse, Business Intelligence, and AI tools, without the hassle of complex setups. Each Sandbox session starts with a clean slate, providing a secure space for experimentation. It’s ideal for users who want to quickly explore new technologies in a controlled, isolated environment.
DataLab, on the other hand, empowers users to import their own data and generate insights using SQL and Python, with best-in-class AI assistance. It’s designed for users looking to build, save, and share data projects, making it an excellent platform for developing and showcasing portfolios.
Is Sandbox right for me?
If you're just starting your learning journey, we recommend beginning with practice and projects. These are structured to help you build foundational skills through a guided experience.
Sandboxes are best suited for intermediate to advanced learners who want more freedom to explore, experiment, and apply what they’ve learned. Once you’ve gained some confidence, Sandbox becomes a great space to deepen your skills through open-ended practice.