Getting insights from your data shouldn’t be this hard… With DataLab it’s intuitive and fun for everyone.

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“Really easy to use, love the AI Assistant!”

4.6

How it works

You’re three steps away from your insight. No technical skills required.

Attach your data source

Upload a file or connect your database.

Ask the AI what you need

Describe in text what you need.

Get the insights

Share what you’ve just discovered with your team in one click.

That easy? Yes.

Don’t take our word for it

“DataLab is fantastic. Easy to use, powered with AI, quite an essential tool to perform data science daily tasks!”

Thierry Marot, Architect in Geophysics Data Sciences

“Easier to organise and view different files than with Jupyter Notebooks and runs my code more quickly than on my IDE.”

Liz Vassell, Freelance Data Analyst

“It enables me to review my notebooks on the go and receives assistance from AI. Additionally, it comes with all the necessary modules pre-installed.”

Karl Richard, Fetal Medicine Specialist

“DataLab is nice and simple to use. It allows you to get used to the structure of how notebooks work for data analytics. Plus, the AI is helpful to get you started.”

Daniel Conrad, PeopleSoft Technical Developer

“Incredibly awesome, it really makes data science accessible and is so helpful when coding: we can just focus on analyzing results. Kudos DataLab!”

Len Kwok, Workplace Trainer Assessor

Dig into your data, wherever it lives

From CSV files and Google Sheets data to Snowflake and BigQuery: DataLab seamlessly and securely connects to all of your data sources.

DataLab's AI Assistant scans the structure of your data, analyzes your previous activity and leverages industry best practices to answer your questions with best-in-class accuracy.

Learn more

Powered by code

Generative AI can make mistakes. To ensure that you can fully trust the insights you’re uncovering, DataLab’s AI Assistant writes and runs code that you can seamlessly review, tweak, and share.

Learn more

Enterprise-grade security

DataCamp is ISO 27001:2017 certified and implements additional safeguards to secure your insights.

Encrypted data & credentials

Share work insights without exposing credentials or sensitive information. All data is encrypted at rest and in transit.

SSO, MFA and directory sync

Enjoy single sign-on and multi-factor authentication with all the major identity providers, Okta, Microsoft and more.

Control at various levels

Decide which users can take which actions within DataLab, and can access which workbooks and data assets.

Learn more about security at DataLab

FAQ

DataLab is an AI-enabled data notebook to allow anyone to go from data to insight regardless of technical skill. DataLab

smartly leverages generative AI technology so you can ‘chat with your data’,
features a powerful IDE to review, tweak and rerun your analysis, and
seamlessly turns your work into a beautiful, shareable report.

ChatGPT, and more specifically its Advanced Data Analysis capability, allows users to upload a dataset and get it analyzed. However, it has several limitations:

ChatGPT can only analyze data files like CSVs and Excels; you cannot connect a database or a data warehouse to ChatGPT.
ChatGPT does not leverage your organizational context and past work to improve the quality of the analysis.
It’s impractical to review, tweak, reproduce or share the analysis that ChatGPT creates'.

DataLab does not have any of these limitations:

DataLab can analyze data files, connect to Google Sheets and all common data warehouses and databases.
DataLab inspects the schema of the connected data source and uses your past activity to enhance the quality of the analysis.
DataLab features a fully-featured data notebook that contains all the code that the AI Assistant writes to answer your questions. You can seamlessly switch to this code to review, tweak, rerun and share it, without leaving the tool.

DataLab is built on OpenAI’s latest GPT models. Rather than just acting as a simple wrapper that sends your question to OpenAI verbatim, DataLab smartly enhances your question with your unique work context (previous questions, connected data sources, additional organizational context) to improve the quality of the responses. These responses are robustly parsed, which leads to code being written in the background. DataLab sends the output of running that code again to OpenAI to be interpreted.

If you have a dataset handy or have the credentials to a database warehouse, you can set up DataLab in a matter of minutes: upload the data or connect the database and start asking questions or writing code. All you need is a DataCamp account, which you can create for free.

Because the AI chat writes and runs SQL and Python code in the background, you can in theory answer any question that you can get the answer for with SQL and Python. Evidently, more advanced, subtle questions, might require some more iteration with the AI chat and even require you to switch to the data notebook and adjust some of the code yourself. Things like key metrics analysis, root-cause analysis, historical comparative analysis, trend analysis are all possible, and more. For example, simple questions like “Which customers contributed the most to revenue this week” or “How much new subscriptions came from mobile vs web” as well as more complex questions like “Why did conversions increase last week?” can readily be answered with DataLab.

Large language models, like OpenAI’s GPT model that DataLab is built upon, can make mistakes and hallucinate. The technology is improving at a rapid pace, though, and we fundamentally believe that these problems will be fixed in future iterations of the models. Until then, auditability is key: for important insights that drive important decisions, you want to verify what the AI did to answer your question. With every question you ask in the AI chat, the AI assistant is writing and running code in DataLab’s data notebook, and interpreting the output of that code. You can seamlessly review this code yourself, or share it with a colleague with more technical skills to verify, and tweak it if needed. This is a fundamental advantage of DataLab compared to ChatGPT.

There is a free tier of DataLab; all you need is a DataCamp account. Free DataLab users can create up to three workbooks (data projects in DataLab), and make use of the AI Assistant 20 times. To create unlimited workbooks, use the AI assistant without limitations, access powerful hardware, prolonged version history and more, you need to upgrade to DataLab Premium. You can purchase DataLab Premium as an individual user or you can purchase DataLab Premium licenses for your group, in which case every licensed group member enjoys the Premium benefits. To learn more about using DataLab at your organization, check our enterprise page or book some time to chat.

Both! DataLab is the ideal tool to experiment with data science code, for example as you are learning on DataCamp, and exposing yourself to the future of AI-assisted coding and analytics. However, DataLab is built with group collaboration in mind, where teammates can easily connect to company data sources, use the AI chat or write code to explore data and dig for insight.