Exploratory Data Analysis with MATLAB

This module introduces the key steps in data science workflow and begins exploring datasets using provided scripts. Students learn about MATLAB as a data science tool and practice interactive data exploration while understanding the fundamentals of data science methodology.

This module covers data import techniques in MATLAB, including customizing import options and generating automated code. Students learn about different data types, storage methods, and how to efficiently handle various data formats including numeric, dates, and text.

This module focuses on creating and customizing visualizations, filtering data for analysis, and managing data tables. Students learn to create new tables and save them for future use or sharing with others outside of MATLAB.

This module teaches code writing for extended analysis, including summary statistics, correlation analysis, and multi-variable filtering. Students learn to modify categorical data and perform group-based calculations while creating meaningful visualizations.

This final module focuses on creating interactive live scripts with controls. Students complete a peer-reviewed assignment analyzing a weather event, demonstrating their ability to document and communicate their analysis effectively.