Introduction to DataCamp Projects
If you've never done a DataCamp project, this is the place to start!
- 6 tasks
- 21,588 participants
- 1,500 XP
Project Description
This is an introduction to DataCamp projects. DataCamp projects allow you to apply the skills you've 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 this gentle introduction to DataCamp projects, we will walk you through the projects interface and you will learn how to work with Jupyter notebooks: an open-source web application that is great for interactive data analysis.
Project Tasks
- 1 This is a Jupyter notebook!
- 2 Put _any_ code in code cells
- 3 Jupyter notebooks ♡ data
- 4 Jupyter notebooks ♡ plots
- 5 Jupyter notebooks ♡ Data Science
- 6 Goodbye for now!
Rasmus Bååth
Senior Data Scientist at King (Activision Blizzard)
I'm a Data Scientist at King (Activision/Blizzard) and previously I've been an instructor at DataCamp. I once did a PhD in Cognitive Science at Lund University. I'm passionate about Bayesian statistics, good graphs and free coffee. Follow me @rabaath on Twitter or check out my blog, Publishable Stuff.
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