Modern Data Analyst: SQL, Python, Power BI, and AI Tools

In today's data-driven world, the ability to translate raw numbers into actionable business insights is one of the most in-demand professional skills. This course provides a clear, step-by-step pathway to mastering the core technologies used by modern data analysts. You will progress from understanding foundational data concepts to writing database queries, performing advanced analysis with programming languages, and creating dynamic business intelligence reports. Along the way, you will discover how to integrate modern AI tools to write cleaner code, troubleshoot errors, and speed up your daily analysis tasks. What you'll learn: - Understand core data analysis concepts, terminology, and the typical lifecycle of data projects. - Write SQL queries to retrieve, filter, join, and aggregate data from relational databases. - Apply Python programming basics and modern data libraries to clean, manipulate, and analyze datasets. - Design interactive Power BI dashboards that turn complex data into clear visual narratives. - Utilize AI-assisted workflows to generate code, debug scripts, and draft SQL queries efficiently. - Practice data transformation techniques to prepare messy, real-world data for analysis. The course starts with fundamental theory and database concepts before moving into hands-on code writing and dashboard design. You will work through structured written explanations, practical code scenarios, and step-by-step analytical exercises. This course is designed specifically for beginners with no prior coding or data analysis experience. Start your journey toward becoming a confident, AI-empowered data professional today.