Every analysis, from a quick spreadsheet check to a full dashboard, follows the same underlying logic. This module starts with what data analytics is and the analysis lifecycle: defining the question, collecting and cleaning data, analysing it, and interpreting the results so they can drive a decision.
You'll then look at what a data analyst actually does day to day, since the role ranges from highly technical SQL work to stakeholder-facing dashboards. The module finishes with the skill that shapes everything after it: asking SMART questions that are specific, measurable, and tied to a real business goal.
Once you can frame a problem clearly, you'll be ready for the next module, Spreadsheets & Excel, where you start working with real data.
An introduction to data analytics, how it is used in business, the main steps of the data analysis process, and the skills you need to become a data analyst.
How the data analyst job varies from company to company, from technical SQL-heavy roles to dashboard and stakeholder-focused ones, and what each involves day to day.
Why good analysis starts with good questions, the difference between effective and ineffective questions, and how to make yours specific, measurable, relevant, and time-bound.