Lesson 1: Data Import, Sampling, and Analysis Foundations
Lesson Overview
Develop practical capability in data import, sampling, and analysis foundations as part of the MATLAB for Signal, Image, and Data Analysis learning path.
Topics Covered
Loading signal, image, and tabular data
Sampling rate, timestamps, image dimensions, and metadata
Data cleaning and normalization
Tables, timetables, and multidimensional arrays
Visual inspection and quality checks
Reproducible analysis scripts
Practical Activity
Build a guided MATLAB exercise covering loading signal, image, and tabular data.
Apply sampling rate, timestamps, image dimensions, and metadata to a practical engineering or data scenario.
Validate results and troubleshoot an issue involving reproducible analysis scripts.
Key Takeaways
Explain and apply loading signal, image, and tabular data.
Use data cleaning and normalization in a structured workflow.
Validate outputs with plots, metrics, tests, or simulation evidence.
