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And every week, Maya would panic. She’d pull three different Excel sheets from the sales drive, a CSV from the CRM, and a handwritten log from the warehouse. Then she’d spend her weekend merging columns, fixing date formats, and building pivot tables. By Monday morning, the answer was already outdated.

Maya had a problem. Every Friday at 3 PM, her boss, Derek, would poke his head into her cubicle and ask the same question: "How did we do this week?" power bi in udemy

By Chapter 3 ("Filters and Slicers"), Maya had transformed her messy Excel files into a single, humming data model. By Chapter 6 ("Measures vs. Calculated Columns"), she made a KPI that blinked red when inventory dropped below safety stock. And every week, Maya would panic

"You’re a data analyst, Maya," Derek said one Friday, not unkindly. "But right now, you’re just a very slow calculator." By Monday morning, the answer was already outdated

He went silent. Then he whispered, "Where did you learn this?"

Anders didn’t just teach DAX formulas and stacked bar charts. He taught her to think in relationships—to see tables not as dead spreadsheets but as living conversations between customers, products, and time.