Data Science Practice
3 bite-size cards · 60 seconds each
What is Data Science?
Data science is the discipline of extracting insights from data through statistics, programming, and domain expertise. It overlaps with machine learning but is broader — data scientists answer business questions, design experiments, build dashboards, and sometimes train models. The job is fundamentally about turning data into decisions.
How A/B Testing Goes Wrong: The Most Common Statistical Pitfalls
A/B testing looks simple — show two versions, measure the difference, pick the winner. But peeking at results, multiple comparisons, and ignored novelty effects cause teams to ship changes that don't actually work. Understanding these traps separates real data scientists from dashboard-watchers.
Why Data Lineage is the Underrated Backbone of Reliable AI
When an AI model produces unexpected output, the first question a debugger asks is: what data did this come from? Data lineage tracks the path from raw source through every transformation to final use. Teams without it spend days untangling pipelines; teams with it find bugs in minutes.
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