DataCamp Workspace

Write code, run analyses, and share your data insights

Go from data to insights in seconds, all from the comfort of your own web browser.

Get Started For Free

Whether you’re just starting out on your data science learning journey or you’re an advanced data scientist, with Workspace, the possibilities to analyze data are endless.

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

Go from learning data science to doing data science

Workspace is a preconfigured integrated development environment (IDE), so you can go straight to writing code and analyzing data. With no software installation required and no need to search for a dataset to analyze, you can apply your coding skills instantly.

Work with ready-to-use datasets

With our templates, you can easily create elegant, ready-to-share analyses without having to set up a data tool or search for a dataset to analyze. Workspace provides access to 50+ templates—and we’re always adding more—so there’s always something interesting to analyze.

Explore Our Templates

Curate your portfolio

Your published work can be added to your DataCamp profile, making it even easier to create and share your portfolio.

Screenshot of a workspace portfolio

Integrate with your own data

Seamlessly integrate with leading infrastructure and data providers so you can analyze your existing data. Workspace simplifies the process of connecting to your own data sources.

Data logos

Create captivating visualizations

Communicate your insights with easy-to-interpret visuals. Whether you’re looking to create bar charts or multi-dimensional time series plots, Workspace has you covered. Workspace supports all Python visualization libraries.

Share your work with one click

Through our one-click publishing tool, easily share your work with a URL that’s unique to your workspace. You’re also in control of who gets to see your work.

Screenshot of the workspace UI

Security

Protecting your data is a top priority. DataCamp is ISO 27001:2017 verified and we implement safeguards to secure all content. For more information on our security procedures click here.

Coming soon

Collaboration

Like learning data science, doing data science should be easy and collaborative. With Workspace, we’re just getting started. We’re currently building new features that will make it even easier for data teams to collaborate and share insights.

MobileUbiquitous access to data tools

We want to enable anyone—from anywhere and on any device—to access data and create visualizations and dashboards from their favorite tools.

GroupReal-time and asynchronous collaboration

Most data science tools used today lack even the most basic collaboration features. With Workspace, our goal is to allow data scientists to collaborate async and in real-time.

Screenshot of a comment in DataCamp

To learn more about how DataCamp is changing the way we do data science, check out this blog post from our CEO Jonathan Cornelissen, who shares his vision for DataCamp Workspace.

Explore analyses published by our learners

People playing basketball

NBA Shooting Data

This dataset consists of the analysis of four NBA players, and their results in the NBA playoffs.

Juan Araujo Headshot
Juan Araujo
Screenshot of a line chart

What's in a name

Explore a dataset to see baby name trends in the U.S. over the past 100 years and identify which are the most popular names

Ramnath Vaidyanathan Headshot
Ramnath Vaidyanathan
Photo of a building

Education Inequality Project

This project seeks to find whether and how socioeconomic factors affect U.S. high school performances on the ACT or SAT exams.

Richard Pallangyo Headshot
Richard Pallangyo
Screenshot of heat distribution

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 Headshot
Jorge Rodríguez Ramos
Person washing hands

Water Quality

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

Richard Pallangyo Headshot
Richard Pallangyo
Screenshot of data visualization

Data Visualization in Python

This publication covers different ways to visualize data in Python.

Ramnath Vaidyanathan Headshot
Ramnath Vaidyanathan
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What our learners are saying

Sanjay N, Computer Science Student Headshot

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

Sanjay N, Computer Science Student
Richard Pallangyo, Data Science Enthusiast Headshot

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

Richard Pallangyo, Data Science Enthusiast
Rodriguez Ramos, Post Doctoral Researcher Headshot

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

Rodriguez Ramos, Post Doctoral Researcher

Go from data to insight with Workspace

Get Started For Free