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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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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 Visualization
Rasmus Bååth HeadshotRasmus 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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  • Vipin F.
    about 8 hours

    It was great and happy to be a part of it.

  • Salih K.
    1 day

    I think you know how the people learn new things. All your work you have done is unique and aim to teach how to learn.

  • Oluwafemi O.
    1 day

    So far my stay at datacamp has been so enlighten, i like the way my career path has been broken down for me, made it so much engaging and easy

  • pankaj k.
    10 days

    it was awesome

  • kalpesh m.
    17 days

    The mapping I like the most

"It was great and happy to be a part of it."

Vipin F.

"I think you know how the people learn new things. All your work you have done is unique and aim to teach how to learn."

Salih K.

"So far my stay at datacamp has been so enlighten, i like the way my career path has been broken down for me, made it so much engaging and easy"

Oluwafemi O.

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