Write code, run analyses, and share your data insights
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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.
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.
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.
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.
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.
Ubiquitous 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.
Real-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.
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.
What our learners are saying
‘‘Through Workspace, I've been able to apply my learnings and take my skills to the next level.’’
‘‘The ability to create a portfolio was the biggest advantage of using Workspace.’’
‘‘How amazing is it that through Workspace, you can share your data insights with one simple click’’