Excel Automation & Data Modelling with Power Query & Power Pivot
Your analysts are spending hours each week cleaning, reshaping, and connecting data from multiple sources — work that Power Query and Power Pivot were specifically designed to eliminate entirely.
Participants learn to automate data preparation and build sophisticated relational data models directly within Excel — transforming what was a manual weekly grind into a one-click refresh. Teams gain the capability to handle enterprise-scale data without needing to move to a separate BI platform.
Key Outcomes
Import, transform, and clean data from multiple sources using Power Query automation
Build relational data models in Power Pivot using multiple connected tables
Create calculated columns and measures using DAX formulas for advanced analysis
Design scalable report frameworks that refresh automatically when source data changes
What Makes it Different
Participants build a complete automated data model using real multi-source datasets during the session
DAX Formula Starter Library: pre-built measures for the most common business calculations
Data cleaning workflow templates: reusable Power Query steps for common messy data problems
Datasets and data sources used in training can mirror your organisation's actual data environment — ERP exports, CRM data, HR systems, or financial ledgers — making outputs directly usable post-training.
Essential for finance, operations, and analytics teams managing large or multi-source datasets in Excel — delivered to data-intensive functions in banking, manufacturing, logistics, and professional services.