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

Learn how Airflow's interval-based scheduling model really works — and how to safely backfill months of historical data without duplicating records. This hands-on lesson covers catchup behavior, the backfill CLI, and the idempotent design patterns every data pipeline needs.

Knowing when your pipeline should run is just as important as knowing what it should do. This lesson breaks down the three core trigger patterns — cron schedules, event-driven triggers, and sensors — with real code examples and a decision framework you can use immediately.

Before your RAG system can answer questions intelligently, it needs clean, well-structured text to work with. This hands-on lesson walks you through building a complete document ingestion pipeline in Python — from loading PDFs and Word files to cleaning noise, chunking text, and enriching chunks with metadata.

Most LLM applications fail not because the model is wrong, but because the conversation is designed poorly. Learn how to structure system prompts, manage multi-turn message threads, and inject dynamic context using the Chat Completions API — the skills every serious LLM builder needs.

Most AI responses that miss the mark aren't the AI's fault — they're the prompt's fault. This lesson teaches you a five-point diagnostic framework to identify exactly why your prompt failed and apply targeted fixes that get you useful, precise answers every time.

Dates and times are everywhere in data work, but SQL's datetime functions vary wildly across platforms — and the edge cases produce wrong answers that look right. This lesson teaches you how to cast, truncate, and subtract dates, and how to use interval arithmetic across PostgreSQL, MySQL, BigQuery, and SQL Server.

Power Automate can feel overwhelming before you know where everything lives. This hands-on lesson walks you through the designer, explains how triggers and actions work together, and gets you building and testing a real flow from scratch — no prior experience required.

Confused about where data lives in Power Apps and how to work with it? This lesson builds your understanding from first principles — covering tables, records, fields, external data sources, and collections — so you can confidently connect data to any app you build.

Stop sharing workspaces and start delivering polished, governed report experiences with Power BI Apps. This hands-on lesson walks you through building, configuring, and publishing an enterprise app — including audience groups, navigation design, and seamless update workflows.

Complex DAX measures don't have to be unreadable nightmares. Learn how to use VAR and RETURN to break calculations into clear, named steps — and discover the one surprising behavior about variables that every DAX developer needs to understand.

Most Power BI beginners pick charts by instinct — and end up with dashboards that confuse instead of communicate. This lesson teaches you the one question you need to ask before choosing any visualization, then walks you through the four chart types that cover 90% of real business reporting needs.

The M standard library has over 700 built-in functions — and most Power Query users never get a proper map of the territory. This lesson teaches you how the library is organized by namespace, what each major namespace covers, and how to confidently look up and use any function you encounter.