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Introduction to DataCamp Projects

4.6+
49 reviews
Beginner

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

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6 Tasks1,500 XP303,203 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 ♡ 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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  • Maryanne N.
    9 months

    It was very friendly for a beginner

  • Ingrid K.
    9 months

    The contents offered by Datacamp provide students with valuable resources to learn and experiment in all kinds of languages and techniques regarding machine learning, data visualization and related programming languages (Python, R, ...)

  • Consuelo S.
    9 months

    I am enjoying learning from real-world problems projects. Jupyter notebook is a very cool IDE (Integrated Development Environment). You can write, edit , run and share your code in a simple way.

  • Grigorios P.
    9 months

    Fantastic. In so many ways.

  • Ose A.
    9 months

    It was engaging

"It was very friendly for a beginner"

Maryanne N.

"The contents offered by Datacamp provide students with valuable resources to learn and experiment in all kinds of languages and techniques regarding machine learning, data visualization and related programming languages (Python, R, ...)"

Ingrid K.

"I am enjoying learning from real-world problems projects. Jupyter notebook is a very cool IDE (Integrated Development Environment). You can write, edit , run and share your code in a simple way."

Consuelo S.

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