Day 39 of improving my Data Science skills

Source: Dev.to

Reflection

A silent struggle in data work that frustrates many people (and no one talks about it): “I’m learning a lot… but everything feels disconnected.”
Today reminded me that the problem isn’t learning too little; it’s not seeing how the pieces fit while you’re learning.

Nothing brand‑new here, but the context made it click differently.

Learning Activities

Introduction to Importing Data in Python

• Explored small SQL details that have a big impact when working with real systems.

Data Visualization with Seaborn

• Reinforced that visualization is more about asking better questions of your data rather than just displaying charts.

Introduction to Functions in Python

• Reviewed functions with and without parameters.
• Not all new, but clearer.

Python Toolbox – Iterators

• Explained a lot of the “magic” I’d previously taken for granted.

Cleaning Data in Python

• Highlighted how this part of data work quietly determines whether insights are trusted or ignored.

Takeaways

• Some concepts weren’t new; others were.
• The real progress came from seeing how everything connects.

Happy New Year once again 🎉 — here’s to cleaner data, clearer thinking, and fewer “why doesn’t this make sense?” moments in 2026.

‑SP