Explore in-depth tutorials and guides across data analytics, automation, and AI. Filter by topic or difficulty to find exactly what you need.

Raw data from APIs and connectors is almost never in the shape you need. Learn how to use Power Automate's Compose, Select, and Filter Array actions to reshape, remap, and reduce arrays of data — without writing a single loop by hand.

When your Power Apps canvas app breaks, guessing wastes hours. This lesson teaches you how to use the Power Apps Monitor tool and built-in formula error signals to trace any bug — from a silent form failure to a broken data filter — with a repeatable, systematic approach.

Deploying Power BI at enterprise scale requires more than knowing how to build reports — it demands deliberate decisions about workspace structure, licensing tiers, and dedicated infrastructure. This complete lesson walks you through everything from workspace design patterns to Premium capacity provisioning, so you can build a Power BI environment that actually scales.

Most data freelancers leave enormous revenue on the table because they pitch large projects before establishing trust or give away strategic advice for free. Learn how to build, price, sell, and deliver a professional Data Audit Service that creates a fast, low-friction client entry point and a natural gateway to high-value implementation work.

Duplicated revenue reports, doubled transaction counts, and silent data corruption — these are the failure modes of pipelines designed without idempotency in mind. This deep-dive lesson teaches you how to engineer every layer of a production data pipeline so that retries, restarts, and partial failures produce correct data, every time.

Enterprise AI deployments live or die on how well you customize your foundation model to your business domain — but choosing the wrong approach costs months of engineering time. This deep-dive lesson builds the decision framework, architectural patterns, and mechanistic understanding you need to get it right the first time.

If you've ever updated the same SharePoint URL across eleven different flows, you already know why copy-paste automation doesn't scale. This deep-dive lesson teaches you how to build a parent-child flow architecture with proper contracts, error handling, and scoped execution that makes your automation genuinely maintainable. We cover execution models, compensation patterns, concurrency, versioning, and governance — everything you need to build automation systems that hold up in production.

Learn how to build production-grade integrations between Power Apps Canvas Apps and Azure API Management. This expert-level lesson covers custom connector design, OAuth 2.0 and API key authentication patterns, multi-layer throttling policies, and the debugging techniques that separate enterprise deployments from fragile prototypes.

The XMLA endpoint transforms Power BI datasets from GUI-managed blobs into programmable Analysis Services databases accessible to every professional tool in the ecosystem. This expert-level lesson teaches you to configure XMLA access, connect SSMS, Tabular Editor, DAX Studio, and Python clients, execute TMSL for partition management and schema changes, and build a CI/CD pipeline that promotes datasets across environments without touching the Power BI UI.

Learn Excel's powerful dynamic array functions that automatically expand and adapt to your data. Master FILTER, SORT, UNIQUE, and SEQUENCE with practical examples and real-world applications.

Learn the architectural differences, pricing models, and performance characteristics of the three major cloud data warehouses. Practical guidance for choosing the right platform for your analytics workload.

Master advanced techniques to diagnose and fix slow Excel workbooks. Learn formula optimization, memory management, VBA performance patterns, and architecture strategies that can improve calculation time by 90%+ while handling larger datasets.