Analytical lab

Data

A learning space for SQL, Python, practice notes, and small analytical artifacts that show how I am building data fluency.

Roadmap

Learning roadmap

The goal is not to collect random tutorials. The goal is to build a visible sequence from foundations to useful analysis.

01

SQL foundations

Select, filter, sort, join, group, and explain queries in plain language.

02

Python for analysis

Clean small datasets, inspect columns, summarize patterns, and document decisions.

03

Mini dashboards

Turn practice data into compact metric cards, tables, and short takeaways.

04

Project writeups

Publish what changed, what the data showed, and what I would improve next.

Current practice board

Primary focus

SQL joins

Next skill

Pandas cleanup

Output style

Short notes

Project target

Mini dashboard

Practice notes

SQL

Join patterns

Examples for inner joins, left joins, and how to explain why rows appear or disappear.

Python

Cleaning checklist

A repeatable Python checklist for missing values, column names, duplicated rows, and type conversion.

Analysis

Insight habit

Every exercise should end with one sentence: what changed, what surprised me, and what to inspect next.

Next data artifact

Add one small project that starts with a question, shows the query or notebook, and ends with a short takeaway.

See related projects