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Series
A beginner's journey through Data Science — documented one blog at a time. This series covers everything I learn along the way, starting from Data Visualization to EDA, Machine Learning, and beyond. Written in simple language so anyone can follow along, whether you are just starting out or learning alongside me.
Imagine you have a spreadsheet with 10,000 rows of sales data. You stare at it for 10 minutes. You understand nothing. Now someone shows you a single bar chart of the same data — and within 5 seconds
When I first started learning Data Visualization in Python, the very first library I opened was Matplotlib. And honestly — it looked complicated. Too many lines of code just to draw a simple line. But
When I finished Matplotlib, I felt confident. I could build charts, customize them, and make them look decent. But writing 10-15 lines just to get a basic plot was getting repetitive. Then I discovere
After learning Matplotlib and Seaborn, I thought I had a solid grip on data visualization. Both are great tools. But there was one thing they could not do — make charts interactive. Then I learned Plo
If you have been following this series, you have now learned all three major Python visualization libraries — Matplotlib, Seaborn, and Plotly. And at some point during that journey, you probably asked
