Data Analysis

Spreadsheets are the universal first tool where most analysts touch, shape, and reason about data.

Functions turn a static table into a calculator that answers questions and derives new fields automatically.

SQL is the single most-requested analyst skill because it pulls exactly the data you need directly from the source database.

PivotTables let you summarize thousands of rows into an answer in seconds without writing a single formula.

Real questions span multiple tables and need grouped summaries, so joins and aggregation are where SQL becomes genuinely powerful.

Analysts spend most of their time cleaning data, and dirty data silently ruins every downstream chart and conclusion.

Statistics tells you whether a pattern in the data is real and meaningful or just noise you are about to over-interpret.

The right chart makes a pattern obvious in seconds; the wrong one hides or distorts it.

Dashboards package your analysis into a living tool stakeholders can explore themselves, which is core to most analyst roles.

An insight nobody acts on is worthless; storytelling is what turns findings into decisions.

A complete, portfolio-ready project is what proves to an employer you can do the whole job, not just isolated skills.