Practical Data Science with MATLAB

Data-driven insights are essential for modern research and industry, yet the transition from raw data to meaningful results requires a structured approach. This course provides a clear path for beginners to understand how to leverage MATLAB for effective data science. You will develop the skills to manage the entire data science pipeline, starting with foundational concepts and moving through data preparation, exploration, and predictive modeling. By the end of this course, you will be able to transform complex datasets into clear, actionable conclusions through logical, text-based workflows. What you'll learn: - Understand essential data science terminology and the MATLAB environment. - Clean and preprocess messy datasets to ensure high-quality analysis. - Apply statistical techniques to explore data distributions and relationships. - Construct informative data visualizations using written code commands. - Build and evaluate machine learning models for classification and regression. - Practice reproducible workflows to ensure your analysis is consistent and sharable. This course begins with basic definitions and data structures, ensuring you have a solid footing before progressing to more advanced analytical tasks. It is designed specifically for beginners, requiring no prior experience in data science or programming. Begin building your data science toolkit with MATLAB today.