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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 ♡ SQL (part i)
- 4Jupyter Notebooks ♡ SQL (part ii)
- 5Jupyter Notebooks ♡ SQL (part iii)
- 6Jupyter Notebooks ♡ SQLAlchemy
- 7Jupyter Notebooks ♡ plots
- 8Goodbye for now!
Technologies
SQL
David Venturi
Data Science Educator
David graduated from Queen's University with a dual degree in Chemical Engineering and Economics. After working for a year, he discovered online education (in the early MOOC era) and became enamored with its potential. He has since created content to help people navigate the space, including a DIY data science master's program, Class Central's Data Science Career Guide, courses for Udacity's Data Analyst Nanodegree program, and several DataCamp courses and projects. Visit his website to say hi!