Introduction to DataCamp Projects
If you've never done a DataCamp project, this is the place to start!
- 6 tasks
- 15,555 participants
- 1,500 XP
Project Description
This is an introduction to DataCamp projects. A DataCamp project will allow you to practice and apply the skills you've learned in the DataCamp courses. In each project you will carry out an end-to-end analysis, on a real-world task, 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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