Data Analyst

Databases

SQL is the analyst's first language; your first SELECT in the browser, nothing to install.

Databases

Longer drills so JOIN and GROUP BY stick on real tables.

Databases

Questions of rising difficulty on one schema, up to window functions.

Databases

What SQL gained after 1992: the modern syntax that shortens analysis.

Mathematics

Beyond the mean: distributions, confidence intervals and tests, from a free textbook.

Mathematics

The probability you just read about, made visual and interactive.

Free Books & Long Reads

When SQL is not enough: NumPy, pandas and Matplotlib in one book.

Data Science & ML

After the book, the docs themselves: the tab that stays open every day.

Data Engineering

SQL over millions of rows on a laptop; an analytics engine that sits beside pandas.

Data Science & ML

Telling the finding: statistical charts in a few lines.

Data Science & ML

A yardstick for what a good data story looks like.

Data Science & ML

Real datasets and other people's notebooks: your first end-to-end analysis.

Practice & Challenges

Interview prep: the SQL questions analyst interviews actually ask.

Data Science & ML

Turning an analysis into a shareable dashboard, no front-end skills needed.