Practical SQL & Python
for real business questions
Define the metric, validate the data, and deliver a result you can defend.
WHAT THIS SITE IS ABOUT
As analysts, we can query data and make charts. The problem is the work in the middle, where things often become unclear. What are we actually trying to determine?
This site focuses on the workflow between the data and the decision: framing the question, defining the metric, and validating the data to support the claim. I share step-by-step breakdowns of real analytics problems so you can move from uncertainty to clarity and communicate results with confidence.
WHAT YOU’LL FIND HERE
SQL
Readable, maintainable queries designed for real datasets, with definitions and edge cases included.
Python
Explore and understand the data, including validation checks, summaries, and visuals that support the story.
Business Thinking
Clear framing before code so assumptions are explicit and the analysis stays connected to the decision.
WHAT YOU WON’T FIND HERE
Machine Learning
No model-building tutorials. This site is about measurement and decision-ready analysis.
Advanced Statistics
No advanced statistics. Just enough to reason clearly about uncertainty and tradeoffs.
Pure Theory
No concepts for their own sake. If it is here, it shows up in a real dataset and question.
WHO THIS IS FOR
This site is for people who know SQL and Python syntax, but want a repeatable process for real work. If you’ve ever thought, “I know the tools, but I’m not sure how to approach the question”, this is for you.
Aspiring business and data analysts who want a practical workflow.
Career switchers learning how real analytics problems get solved.
Analysts who know syntax, but struggle with definitions, grain, and messy data.
You can start with the latest posts or read more About how I approach data work.
LATEST POSTS
UPCOMING POSTS
Churn Reasons (Linking cancellations to support tickets and product usage)
Build Customer Segments from Orders
Cleaning a Broken CSV Export with Python