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

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 introduces you to the core tools of modern data analysis, combining classic technologies with cutting-edge AI assistance to supercharge your workflow. You will transition from a complete beginner to a confident data professional capable of querying databases, manipulating datasets, and building interactive dashboards. By learning how to integrate AI tools into your daily routine, you will write cleaner code, debug errors faster, and solve complex analytical problems with ease. What you'll learn: - Understand foundational data analysis concepts, terminology, and the lifecycle of a data project. - Write efficient SQL queries to extract, filter, and aggregate data from relational databases. - Apply Python and modern libraries to clean, manipulate, and analyze structured datasets. - Design clear, interactive data visualizations and business intelligence reports using Power BI. - Leverage AI prompts to accelerate your SQL writing, debug Python code, and explain complex data patterns. - Practice structured problem-solving through written scenarios and realistic data analysis exercises. The course begins with essential terminology and data concepts before progressing step-by-step through SQL databases, Python programming, and Power BI visualization. You will read clear explanations, analyze practical code snippets, and complete written exercises designed to build your confidence. This course is designed for absolute beginners with no prior coding or data analysis experience who want to build a strong, modern foundation in the field. Start your journey into data analytics and learn the modern skills needed to succeed today.