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Introduction to DataCamp Projects

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

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6 Tasks1,500 XP173,964 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 ♡ a lot more
  6. 6
    Goodbye for now!
Technologies
Python Python
Topics
Data VisualizationCase Studies
Rasmus Bååth Headshot

Rasmus Bååth

Senior Data Scientist at King (Activision Blizzard)
Rasmus Bååth is a Senior Data Scientist at King. 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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I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.

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Lloyds Banking Group

DataCamp is the top resource I recommend for learning data science.

Louis Maiden
Harvard Business School

DataCamp is by far my favorite website to learn from.

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Decision Science Analytics, USAA