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Introduction to DataCamp Projects

4.6+
50 reviews
Beginner

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

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6 Tasks1,500 XP303,344 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 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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  • muhammad t.
    about 1 month

    Great work

  • Liliana A.
    2 months

    Being someone who's starting her journey into data science, it looked pretty interesting and challenging. I'm eager to finish the intermediate Python course to be ready to start a project! 🙂

  • dody k.
    3 months

    very high rate course...very like

  • Eric T.
    3 months

    Informative practical and clear guidelines provided.

  • bett e.
    4 months

    awesome

"Great work"

muhammad t.

"Being someone who's starting her journey into data science, it looked pretty interesting and challenging. I'm eager to finish the intermediate Python course to be ready to start a project! 🙂"

Liliana A.

"very high rate course...very like"

dody k.

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