Lesson 1: Data Access, Cleaning, and Exploratory Statistics
Lesson Overview
Develop practical capability in data access, cleaning, and exploratory statistics as part of the MATLAB for Data Analysis and Predictive Modeling learning path.
Topics Covered
Importing structured and time-based datasets
Tables, timetables, and categorical data
Missing values, duplicates, outliers, and data quality
Descriptive statistics and probability distributions
Exploratory plots and relationships
Reproducible preprocessing workflow
Practical Activity
Build a guided MATLAB exercise covering importing structured and time-based datasets.
Apply tables, timetables, and categorical data to a practical engineering or data scenario.
Validate results and troubleshoot an issue involving reproducible preprocessing workflow.
Key Takeaways
Explain and apply importing structured and time-based datasets.
Use missing values, duplicates, outliers, and data quality in a structured workflow.
Validate outputs with plots, metrics, tests, or simulation evidence.
