On-Chain Data Analysis: Analyzing Blockchain Data with SQL

Every transaction on a public blockchain is recorded permanently, creating a massive, open-source repository of financial and operational data. Understanding how to query and interpret this on-chain data is a critical skill for anyone looking to understand market trends, protocol health, and decentralized networks. This text-based course guides you from blockchain beginner to a confident analyst capable of extracting insights directly from the ledger. You will learn how blockchain networks are structured, how transactions are logged, and how to write SQL queries to analyze token transfers, smart contract interactions, and network activity. By focusing on practical, query-based analysis, you will develop the skills needed to read the ledger like an open book. What you'll learn: - Understand the foundational structure of public blockchains, including blocks, transactions, and event logs. - Query raw blockchain data using SQL to track token transfers and wallet balances. - Analyze smart contract events to measure protocol activity and decentralized application usage. - Evaluate key network metrics such as transaction fees, active addresses, and gas consumption patterns. - Interpret on-chain signals to identify trends, monitor whale wallets, and assess network health. - Apply data cleaning and aggregation techniques to manage massive, multi-gigabyte public datasets. The course begins with essential terminology and the core mechanics of ledger data before moving into structured SQL query patterns designed for public blockchain databases. This course is designed for aspiring data analysts, blockchain enthusiasts, and researchers who want to transition from passive observers to data-driven investigators. No advanced technical background or prior blockchain analysis experience is required. Start reading today to unlock the power of public ledger data.