What Does a Strong GitHub or Portfolio for Data Science Look Like?

Hi everyone,

I am working on building my GitHub and portfolio for data science and want to make sure it stands out. What elements or projects should be included to make a strong impression? Are there specific types of projects, documentation, or visualizations that can showcase skills effectively?

For a standout GitHub and portfolio, try these:

  1. Unique Projects: Think real-world problems. I once did a project analyzing movie ratings to recommend hidden gems. It was a hit!
  2. Cool Visualizations: Use tools like Tableau or Python’s Plotly. I made some snazzy charts that got a lot of attention.
  3. Clean Documentation: Make your README files pop! Clear, friendly, and helpful.
  4. Code Quality: Keep it clean and commented. It’s like leaving breadcrumbs for others to follow.

Just be yourself and let your passion shine through😊