Data Analyst Foundations: Python, SQL, and Modern Data Workflows

In today's data-driven world, the ability to translate raw numbers into actionable business insights is one of the most valuable professional skills. This course provides a clear, structured path to mastering the fundamentals of data analysis without any prior technical background. You will transition from a complete beginner to a confident data explorer, capable of querying databases, cleaning messy datasets, and extracting meaningful patterns. By focusing on reading clear written explanations and studying practical code snippets, you will build a strong intuitive understanding of how data flows through modern organizations. What you'll learn: - Understand core data analysis concepts, terminology, and the typical lifecycle of a data project - Query and filter relational databases using essential SQL commands and database joins - Clean and manipulate structured datasets using Python and modern dataframe libraries - Apply modern data analysis workflows to identify trends, outliers, and key business metrics - Write clean, readable data analysis code using modern programming best practices The course begins with foundational definitions of data structures and databases before moving into practical SQL queries and Python data manipulation techniques. You will progress step-by-step from simple data retrieval to assembling comprehensive analytical workflows. This course is designed specifically for beginners with no prior programming or advanced math background who want an accessible, text-first introduction to data analytics. Start your journey into the world of data analytics today.