Foundations of Data Analysis and Programming

Data is the backbone of modern decision-making, and knowing how to work with it is one of the most valuable skills today. If you want to transition into the tech industry but do not know where to start, learning the basics of data programming is your ideal first step. This written course guides you through the fundamental concepts of data analytics and programming without assuming any prior technical background. You will progress from understanding core terminology to writing clean code and database queries that turn raw data into actionable insights. What you'll learn: - Understand fundamental data analysis concepts, terminology, and the typical analyst workflow. - Write basic Python code to manipulate, filter, and clean datasets using modern dataframe libraries. - Apply SQL queries to extract, filter, and aggregate data stored in databases. - Analyze structured data to identify trends, patterns, and anomalies. - Practice data quality checks and validation techniques to ensure accurate reporting. The course begins with foundational definitions and basic programming logic before moving into structured database queries and hands-on data manipulation. You will read clear explanations, study practical code snippets, and reinforce your knowledge through text-based exercises. This course is designed entirely for beginners with no prior programming or database experience who want a clear, step-by-step path into the world of data analytics. Start reading today and build your foundation in data analytics.