Data Analyst Fundamentals: Python, SQL, and Modern Data Practices

Every modern organization relies on data to make informed decisions, creating a high demand for skilled analysts who can translate numbers into stories. This course provides a clear path into the world of data, teaching you how to clean, process, and analyze information using industry-standard tools. You will move from understanding basic statistics to performing complex queries and building data-driven reports. What you'll learn: - Understand foundational data concepts and the lifecycle of an analysis project. - Master SQL for extracting and manipulating data from relational databases. - Apply Python and modern libraries for efficient data processing and cleaning. - Practice modern analytical patterns, including basic prompt engineering for data tasks. - Create clear written reports that communicate insights effectively to stakeholders. - Utilize Power Query and advanced formulas for modern spreadsheet analysis. The material begins with essential terminology and data theory before progressing through structured modules on SQL, Python, and data storytelling. You will engage with written explanations and code-based exercises that simulate real-world data challenges. This course is designed for absolute beginners with no prior programming or data experience. Start your journey toward becoming a data professional today.