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2 cards from this section. Quick, good the night before a test.
What is the purpose of a data science portfolio?
Think about what potential employers would like to see.
List two components that should be included in a data science portfolio.
Consider documentation and code sharing.
What is a key element of a strong data science portfolio?
Think about what showcases your abilities best.
True or False: Including interactive elements in your portfolio can make it more engaging.
Consider the advantages of audience interaction.
Create a comprehensive outline for a project you would include in your portfolio. Describe the problem, methodology, data, and expected outcome.
Think about the storytelling aspect of your project.
Assume you have created a dashboard. List down the features you would include to make it user-friendly and informative.
Consider what makes a good user experience.
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