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Introduction to DataCamp Projects

If you have never done a DataCamp project, this is the place to start!

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6 Tasks1,500 XP71,203 Learners

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Project Description

This is an introduction to DataCamp projects. DataCamp projects allow you to apply the skills you have learned in DataCamp courses. In each project, you will carry out an end-to-end analysis on real-world tasks using real-world tools and workflows. In doing so, you will learn how to work with Jupyter notebooks: an open-source web application that is great for interactive data analysis.

Project Tasks

  1. 1
    This is a Jupyter notebook!
  2. 2
    Put any code in code cells
  3. 3
    Jupyter notebooks ♡ data
  4. 4
    Jupyter notebooks ♡ plots
  5. 5
    Jupyter notebooks ♡ Data Science
  6. 6
    Goodbye for now!
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Rasmus Bååth Headshot

Rasmus Bååth

Data Science Lead at castle.io
Rasmus Bååth is a Data Science Lead at castle.io. Previously, he was an instructor and Curriculum Lead for Projects at DataCamp. He has a PhD in Cognitive Science from Lund University in Sweden. Follow him at @rabaath on Twitter or on his blog, Publishable Stuff.
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