Build a data science portfolio as you learn Python
These projects should include work with several different datasets, and each should share interesting insights that you discovered.
Here are some types of projects to consider:
1. Data Cleaning Project2. Data Visualization Project3. Machine Learning Project
Data Cleaning Project
Any project that involves dirty or unstructured data that you clean up and analyze will impress potential employers, since most real-world data requires cleaning.
Data Visualization Project
Making attractive, easy-to-read visualizations is both a programming and a design challenge, but if you can do it well, your analysis will be considerably more useful. Having great-looking charts in a project will make your portfolio stand out.
Machine Learning Project
If you aspire to work as a data scientist, you will definitely need a project that shows off your ML skills. You may want a few different machine learning projects, with each focused on a different algorithm.