Python Programming and Applied Math for Data Analysis

Starting your journey in data analysis requires a solid grounding in both programming syntax and foundational mathematics. This text-based course guides you step-by-step through essential Python concepts and applied math principles required to analyze and manipulate data effectively. You will start with key terminology and core logic before advancing to real-world data processing workflows. What you'll learn: • Understand essential Python syntax, variable types, and control flow • Apply fundamental mathematical concepts to computational problem-solving • Utilize modern Python practices including type hints and clean code formatting • Process and clean datasets using built-in data structures and modern workflows • Write basic unit tests with pytest to ensure code reliability • Solve practical analytical tasks through structured written exercises. The course begins with core syntax and elementary math concepts before progressing to data manipulation techniques. Designed specifically for complete beginners, no prior programming or advanced math experience is required. Start reading today to build a confident foundation in Python and analytical problem-solving.