Exploratory Data Analysis with MATLAB

Data is only as valuable as the insights you can extract from it. This course teaches you how to approach raw information with a critical eye, using systematic techniques to find trends and anomalies that others might miss. You will transform from a passive reader of data into an active investigator capable of driving informed decision-making through rigorous analysis. What you'll learn: - Understand foundational data science terminology and the standard exploratory workflow. - Learn to import, clean, and organize diverse datasets for analysis. - Apply descriptive statistics to summarize and compare different data groups. - Practice using live script environments to create reproducible and interactive documentation. - Identify and handle missing values or outliers using modern automated syntax tools. - Explore techniques for managing larger-than-memory datasets efficiently. The course begins with essential definitions and an introduction to the MATLAB environment before moving into practical data manipulation and statistical summary techniques. Each section focuses on reading through clear explanations and applying logic to real-world data scenarios. This course is designed for beginners who are new to data science and want a structured introduction to analysis. No previous programming experience or advanced statistical knowledge is required to begin. Start building your data intuition and analytical skills today.