Deep dives across data, automation & AI

Function Calling and Tool Use with LLMs: Building Intelligent Agents

Learn to give LLMs access to external tools and data sources, transforming them from text generators into powerful problem-solving agents that can interact with real systems.

Time Intelligence in DAX: YTD, MTD, Previous Period, and Rolling Averages

Master DAX time intelligence functions to create powerful YTD comparisons, rolling averages, and previous period analysis that drives real business insights in Power BI.

Dynamic Queries with M: Build Flexible, Reusable Transformations

Learn to create Power Query transformations that adapt based on parameters, building reusable data processing engines that scale across different scenarios and requirements.

From Any Field to Data: The Complete Career Transition Guide

Transform your professional background into a data career advantage. Learn the strategic approach successful career changers use to build technical skills while leveraging domain expertise for competitive positioning and faster career growth.

Reverse ETL: Push Warehouse Data Back to Business Tools

Learn to sync clean warehouse data back to Salesforce, Intercom, and other business tools. Build production-ready pipelines with incremental syncing, error handling, and comprehensive monitoring.

Error Handling and Try-Otherwise Patterns in M: Building Production-Ready Power Query Solutions

Master advanced error handling in M language with comprehensive strategies for building robust, production-grade Power Query solutions that gracefully handle failures and adapt to changing data conditions.

How to Successfully Transition to Data from Another Career: A Strategic Guide

Master the art of career transition into data by leveraging your existing expertise, building a compelling portfolio, and navigating the job market strategically. Learn what really matters for data roles beyond technical skills.

When to Use Claude vs Codex: Strategic AI Tool Selection for Developers

The Data Analyst Interview: Technical and Behavioral Preparation

Master every aspect of data analyst interviews with systematic preparation covering SQL assessments, statistical reasoning, behavioral questions, and business case studies that demonstrate both technical competence and business judgment.

Salary Negotiation for Data Professionals: Advanced Strategies for Maximizing Compensation

Master the complex art of salary negotiation in data roles through systematic research, strategic leverage building, and advanced tactics that account for equity compensation, remote work dynamics, and the unique market conditions facing data professionals.

Claude Code Prompting Best Practices to Save Tokens

Data Modeling for Analytics: Dimensional Modeling vs One Big Table

Learn when to use dimensional modeling's star schemas versus modern One Big Table approaches for analytical data. Compare both methods with hands-on examples using real e-commerce and SaaS data.