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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
- 1This is a Jupyter notebook!
- 2Put any code in code cells
- 3Jupyter notebooks ♡ data
- 4Jupyter notebooks ♡ plots
- 5Jupyter notebooks ♡ a lot more
- 6Goodbye for now!
Technologies
Python
Topics
Data VisualizationRasmus Bååth
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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