Master Power Query for ETL

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90 minutes

5 steps

·Advanced

After 90 min: Automated data pipelines that extract, transform, and load data from multiple sources

What you need

LaptopExcel with Power QueryData sources

The 90-Minute Plan

Explore Power Query0–15 min

Open Power Query editor. Understand M language basics.

Extract Data15–35 min

Connect to multiple sources (CSV, SQL, APIs). Import data.

Transform Data35–55 min

Clean, filter, merge, and pivot data using Power Query transformations.

Write Custom M Code55–75 min

Create functions and complex transformations using M language.

Ship & next steps75–90 min

Automate refresh cycles. Build dashboard. Next: integrate with Power BI.

Pro Tip

Test transformations step-by-step. Keep queries modular and reusable.

90 min·5 steps

TechBeginner

After 90 min: An automated spreadsheet that calculates and analyzes data without manual work

9,821

see the plan

90 min·5 steps

TechIntermediate

After 90 min: Automated data summaries and insights from large datasets without writing formulas

6,789

see the plan

90 min·5 steps

TechAdvanced

After 90 min: A reusable library of UI components for your projects and team

9,456

see the plan

90 min·5 steps

TechAdvanced

After 90 min: A scalable microservices architecture for a distributed application

7,234

see the plan