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Datacamp Workspace

Analyze data any time, anywhere

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

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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.

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

Sanjay N, Computer Science Student

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Analyze your own data

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

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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.

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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.

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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.

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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.

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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.

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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.

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

Richard Pallangyo, Data Science Enthusiast

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Explore analyses published by others using Workspace

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NBA Shooting Data

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

Juan Araujo HeadshotJuan Araujo
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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 HeadshotRamnath Vaidyanathan
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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 HeadshotRichard Pallangyo
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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
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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
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Data Visualization in Python

This publication covers different ways to visualize data in Python.

Ramnath Vaidyanathan HeadshotRamnath Vaidyanathan
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Analyze data any time, anywhere

Get Started for Free