How to Build a Strong Data Science Portfolio

Showcase Real-World Projects: Feature practical projects using real datasets to demonstrate applied data science skills.

Highlight Diverse Skills: Include projects that display expertise in areas like machine learning, data visualization, and analysis.

Use GitHub or Personal Website: Host your work on GitHub or a personal site for easy access by employers.

Document Your Process: Clearly outline your methodology and tools to showcase problem-solving abilities.

Include Collaborative Work: Highlight team projects or open-source contributions to demonstrate teamwork skills.