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DataCamp Workspace

Analyze data any time, anywhere

Share your data analysis in a cloud-based environment—no installation required.

Get Started For Free

Workspace supports R and Python with SQL support coming soon, and is available on Mac, Windows, and Linux.

What is DataCamp Workspace?

Workspace is a collaborative cloud-based notebook that allows you to analyze data, collaborate with your team and share insights. Workspace is designed to take you from learning data science to doing data science. And with built-in datasets, you can start analyzing data within minutes.

Get a step ahead with ready-to-use datasets 

Ready to put your skills into practice but don’t have a dataset to work on? Choose from our curated library of datasets to analyze in Workspace. Plus, with all the necessary data and packages included, you can save on setup time and share insights sooner.

Explore Our Datasets

Must have templates

Our templates give you access to pre-written code so you can build visualizations and reports faster than ever—saving you hours from writing repetitive code.

Explore Our Templates

Get moving faster with better collaboration

We created Workspace to help individuals and teams be more productive. We’ve made it easy to edit, comment, and share like you would in Google Docs. With our one-click publishing tool, any of your projects can be shared while staying in control of who gets to see them. 

Share your vision with captivating data visualizations

Bar charts? Check. Multi-dimensional time series plots? Check. Whatever story you’re trying to tell with your data, Workspace has you covered. Our data science notebooks support all common Python and R data visualization libraries.

Analyze your own data

Want to connect your data? Seamlessly and securely access your data through our native integration.

Explore Workspace Integrations

Create a shareable data science portfolio

There is no better way to display your data skills to the world as with actual examples. Use your public DataCamp profile as an up to date portfolio of your best workspace reports and analysis.

Trust matters to us

Keeping your data science notebooks secure is a top priority for us. DataCamp is ISO 27001:2017 certified and implements safeguards to secure all your data science work. 

Photo of Sanjay N

‘‘Through Workspace, I've been able to apply my learnings and take my skills to the next level.”

Sanjay N, Computer Science Student

Explore analyses published by others using Workspace

Divvy 2021 Bike Sharing

Explore a dataset to understand how casual riders and annual members use Divvy bikes different. 

Oscar Herrada HeadshotOscar Herrada

Forest Fires Analysis

This dataset consists of an analysis on forest fires in Turkey, yearly and total percentages. 

Hakan Ozler HeadshotHakan Ozler

Victorian Electricity Project

This project analyzes historical data on energy prices to inform future contract negotiations and storage venture profitability. 

Nikki S HeadshotNikki S

Heat Distribution in Petri Dish Heater

This is a visualization of the experimental and simulated values of the temperature in the centre of a homemade Petri dish heater.

Jorge Rodríguez Ramos HeadshotJorge Rodríguez Ramos

Water Quality

This project investigates whether we can predict if a household switches wells based on environmental variables (i.e. arsenic levels)

Richard Pallangyo HeadshotRichard Pallangyo

Data Visualization in Python

This publication covers different ways to visualize data in Python.

Ramnath Vaidyanathan HeadshotRamnath Vaidyanathan
See more
Photo of Richard Pallangyo

‘‘The ability to create a portfolio was the biggest advantage of using Workspace.”

Richard Pallangyo, Data Science Enthusiast

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FAQ

What are data science notebooks?

Data science notebooks are key tools that data scientists use to write and execute code, visualize results and share their insights.

What is an online Python IDE?

An online Python IDE allows you to write, run and share your Python code online. With an online Python IDE, there is no need to install any software on your local computer.

How does Workspace differ from other IDEs for Python?

Workspace enhances the online IDE experience through access to ready to use data-sets and templates. Rather than searching for an IDE and data to analyze, Workspace has everything pre-configured so you can get to insights faster! Plus with more collaboration tools coming soon, Workspace will make collaborating on data science projects even easier.

Is DataCamp Workspace free?

Yes, DataCamp Workspace is currently free for all individual learners.

Can you share Workspace notebooks with non DataCamp account holders?

Yes, you can share your Workspace through a unique dedicated URL.

Which programming languages does the Workspace IDE support?

Currently Workspace supports R and Python, with support for SQL coming soon.

Is Workspace compatible with Windows, Mac or Linux?

Yes, Workspace is compatible with Windows, Mac or Linux

How can I create a data science portfolio with Workspace?

Workspace is the perfect tool for you to create your data science portfolio. Once you’ve completed your notebook, simply click on the share button on the top right hand side of your notebook. At this point, your notebook will be shared on your DataCamp profile, which you can easily share with others.

What are the most popular data connectors for data science projects?

There are various data sources that you can connect to from Workspace. These include GitHub, Dropbox, S3 Buckets, Redshift, PostgreSQL, MySQL, Snowflake, Google Cloud (coming soon) and Google Drive.

Photo of Rodriguez Ramos

‘‘How amazing is it that through Workspace, you can share your data insights with one simple click”

Rodriguez Ramos, Post Doctoral Researcher

Analyze data any time, anywhere

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