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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.
- 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!
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!