Data Analytics with Excel, SQL, Python, and AI

Data-driven decision-making is an essential capability across modern industries, yet navigating the vast landscape of analytical tools can feel overwhelming for beginners. This course provides a clear, structured pathway to understanding and applying data analytics using today's core toolset. You will begin with fundamental terminology and core data concepts before progressing through practical techniques across spreadsheets, relational databases, scripting, and modern AI-driven analysis patterns. What you'll learn: - Understand core data analytics concepts, data types, and the end-to-end analysis lifecycle - Clean, transform, and analyze structured data using modern Excel functions and formulas - Write structured SQL queries to filter, aggregate, and join datasets across relational databases - Manipulate and explore tabular data using foundational Python programming techniques - Structure analytical reports and metric tracking models using Power BI principles - Apply modern AI prompt workflows to accelerate data cleaning, query generation, and exploratory analysis The reading material begins with essential vocabulary and foundational data logic before moving sequentially through spreadsheet calculations, database queries, Python analysis, dashboard concepts, and AI integration. Designed specifically for beginners, this course requires no prior programming experience or advanced mathematics background. Start reading today to build a versatile foundation in modern data analytics.