Data Analytics Foundations with Modern AI Tools

In today’s data-driven world, the ability to translate raw numbers into actionable business insights is one of the most valuable skill sets you can acquire. This written course guides you through the entire data lifecycle, from initial collection to final presentation, with a modern twist. You will transition from a complete beginner to a confident data explorer. You will learn how to structure queries, manipulate data with modern Python libraries, and use AI prompt engineering to write cleaner code and analyze datasets faster. What you'll learn: - Understand fundamental data concepts, including data types, database structures, and the data analysis lifecycle. - Write efficient SQL queries to extract, filter, and aggregate data from relational databases. - Manipulate and clean datasets using modern Python dataframe libraries. - Apply basic prompt engineering techniques to assist with data cleaning, code generation, and debugging. - Create clear, compelling data visualizations and reports that communicate insights effectively. - Practice modern data workflows that integrate AI tools to speed up exploratory data analysis. This course begins with foundational concepts of data management and database architecture before moving into practical written exercises in SQL and Python. You will progress naturally from understanding basic terminology to executing modern, AI-assisted data workflows. This course is designed specifically for beginners with no prior experience in programming, databases, or data analysis. Start reading today to build the foundational skills needed for a modern career in data analytics.