1253 in-depth articles — from Excel foundations to production machine learning. Filter by topic or difficulty to find exactly what you need.

Go beyond the built-in OData.Feed connector and build a custom OData v4 client in Power Query M that parses service metadata, constructs filter expressions that actually push down to the server, and handles entity expansion and pagination for enterprise APIs like Business Central and Dynamics 365. This lesson teaches you the protocol-level understanding and M implementation skills to solve the real-world OData integration problems that generic connectors can't.

Orphaned foreign keys and duplicate dimension keys silently corrupt your data model — and Power Query won't warn you. Learn to build a complete referential integrity validation framework in M that detects broken joins, surfaces diagnostic audit reports, and conditionally aborts load when violations are found.

Stop hardcoding paths, connection strings, and settings into your VBA procedures. This expert-level lesson walks you through building a complete, production-ready configuration management system in Excel — with INI-style architecture, type-safe retrieval, and full version history with rollback.

Go beyond basic XLOOKUP to master multi-criteria lookups using array concatenation, wildcard fuzzy matching, cascading fallback error handling, and binary search optimization. Build lookup formulas that work reliably at enterprise scale.

Stop manually chasing weekly updates. This hands-on lesson walks you through building a complete Power Automate system that collects responses via Microsoft Forms, aggregates them in SharePoint, and delivers a formatted Adaptive Card summary to Teams every Friday — fully automated.

Before your first citizen developer builds their first production flow, your governance baseline needs to be in place. This lesson walks through configuring Default Environment DLP policies, classifying Microsoft first-party connectors, setting trial license boundaries, and enabling Managed Environments — so makers can move fast without creating compliance risk.

When pipelines and Spark jobs collide under shared Fabric capacity, the result isn't graceful degradation — it's cascading failures. This deep-dive lesson teaches you exactly how Fabric's 10-minute smoothing window, throttling stages, and Capacity Admin settings work, and how to tune them to prevent job failures under real production load.

Most anomaly detection methods assume your data is stationary — but real business time series have trends, seasonality, and regime changes that make naive z-scores worse than useless. This lesson builds a complete, production-ready anomaly detection pipeline in pandas that adapts to local context, catches gradual trend breaks, and combines multiple signals into a prioritized alerting system.

Every Dataverse record has a lifecycle — but without configuration, users can jump between stages in ways that break your business rules. Learn how to define meaningful Status Reason values, enable transition enforcement, and build a governed record lifecycle that the system itself polices. Practical, from first principles, with a full hands-on exercise.

Learn how to trigger Power Automate Desktop flows on a schedule using Windows Task Scheduler and the PAD Machine Runtime. This lesson covers session configuration for attended and unattended bots, PowerShell-based run logging, and common scheduling failure modes — with step-by-step setup you can apply immediately.

Most freelancers wait for a website before marketing themselves. This lesson shows you how to build a single-page PDF that opens doors, gets forwarded by referrals, and closes discovery calls — built from a proven four-section structure with real examples throughout.

Getting a data job offer is hard enough — but asking for remote or hybrid work as a first-time hire can feel like walking a tightrope. This deep guide teaches you exactly how to research a company's real flexibility culture, frame your request to reduce hiring manager risk, time the conversation correctly relative to salary negotiation, and protect the offer even if the answer is no.