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MATLAB for Data Processing and Visualization 1 Section4 Lessons16 Hours

Curriculum

1 Section
4 Lessons
16 Hours

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Course Curriculum
4 Items

Lesson 3: Exploratory Analysis and Visualization

Lesson Overview

Develop practical capability in exploratory analysis and visualization as part of the MATLAB for Data Processing and Visualization learning path.

Topics Covered

Summary statistics and distributions
Line, scatter, bar, histogram, box, heatmap, and surface plots
Tiled layouts and multi-axis comparisons
Color, markers, labels, annotations, legends, and themes
Interactive exploration and data tips
Choosing the right chart for the question

Practical Activity

Build a guided MATLAB exercise covering summary statistics and distributions.
Apply line, scatter, bar, histogram, box, heatmap, and surface plots to a practical engineering or data scenario.
Validate results and troubleshoot an issue involving choosing the right chart for the question.

Key Takeaways

Explain and apply summary statistics and distributions.
Use tiled layouts and multi-axis comparisons in a structured workflow.
Validate outputs with plots, metrics, tests, or simulation evidence.

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Lesson 2: Cleaning, Transforming, and Combining Data

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