Learn how to turn messy marketing data into simple insights, weekly reports, and next-step recommendations.
Includes practical lessons, exercises, and a clear next step after you enroll.
About this course
Curriculum
Lessons are listed in order. Each one has a goal, a walkthrough, practice, and a short check before you continue.
- 01Questions before dashboardsName the decision, the metric, and the grain.
- 02Prepare a model-safe tableDefinitions, date ranges, and what the columns mean.
- 03First-pass analysis you can checkTrends, mix shifts, and anomalies — then verify in the sheet.
- 04Narratives for stakeholdersWhat happened, why we think so, what we will do, what we will watch.
- 05Experiments and incrementality cautionDo not let a model declare a winner from correlated charts.
- 06A weekly analytics ritualSame export, same questions, same memo shape every Monday.
- 07Workshop: a complete pass on a real taskCombine the earlier lessons into one working example you can keep.
- 08Quality bar, common mistakes, and a 30-day planLock in a checklist so the skill survives after the course ends.