Practice writing code, apply your skills and create a data science portfolio
Get hands-on coding experience and gain job-ready data skills—without ever leaving your browser.Get Started For Free
With access to ready to analyze datasets and a dedicated integrated development environment (IDE), build out your data science portfolio and share your data insights.
Workspace supports R and Python, with SQL support coming soon and is available on Mac, Windows and Linux.
What is DataCamp Workspace?
Workspace is an online IDE which allows you to write code, analyze data, and share your data insights. Workspace comes with ready-to-use data sets to analyze, making it the perfect tool to go from learning data science to doing data science.
There are 20+ preloaded datasets for you to analyze on Workspace. Plus, with access to pre-written code through our recipe and playbook templates, you can instantly build your analyses.Explore Our Templates
Create a shareable data science portfolio
All your published workspaces can be shown off on your DataCamp profile. Simply share the link to your DataCamp profile for colleagues and potentials employers to take a look at your published work.
Showcase your analyses with captivating data 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 and collaborate on your work
Through our one-click publishing tool, easily share your data science projects while staying in control of who gets to see them. Plus, with our commenting feature, we take collaborating with your peers to the next level.
Analyze your existing data
Seamlessly and securely analyze your existing data through our pre-built data connectors.Explore Workspace Integrations
Keeping your data science notebooks secure
Protecting your datasets and data science notebooks is one of our most important priorities. DataCamp is ISO 27001:2017 certified and implements safeguards to secure all your data science work. For more information on our security procedures click here.
Collaborate on data science notebooks
Commenting on notebooks is just the beginning. Like learning data science, doing data science should be easy and collaborative. We're currently building new features that will make it even easier for data teams to collaborate and share insights.
‘‘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 our learners
NBA Shooting Data
This dataset consists of the analysis of four NBA players, and their results in the NBA playoffs.
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
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.
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.
This project investigates whether we can predict if a household switches wells based on environmental variables (i.e. arsenic levels)
Data Visualization in Python
This publication covers different ways to visualize data in Python.
‘‘The ability to create a portfolio was the biggest advantage of using Workspace.’’
Richard Pallangyo, Data Science Enthusiast
‘‘How amazing is it that through Workspace, you can share your data insights with one simple click’’
Rodriguez Ramos, Post Doctoral Researcher