MATLAB for Data Analysis and Predictive Modeling
SkillDynamo’s MATLAB for Data Analysis and Predictive Modeling course covers data preparation, exploratory statistics, feature engineering, regression, classification, time-series concepts, validation, and model communication.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s MATLAB for Data Analysis and Predictive Modeling course covers data preparation, exploratory statistics, feature engineering, regression, classification, time-series concepts, validation, and model communication.
What You Will Learn
- Build reproducible data-analysis workflows in MATLAB.
- Create features and train regression and classification models.
- Assess models using cross-validation, residuals, and performance metrics.
- Communicate predictions with visualizations and documented analysis.
Who Should Attend
Analysts, engineers, researchers, data-science beginners, and professionals building predictive workflows.
Recommended Prerequisites
Basic algebra and introductory MATLAB or programming experience are recommended.
SkillDynamo Training Approach
This independently rewritten course combines explanations, guided MATLAB exercises,
data or model validation, troubleshooting, and practical project work. Review toolbox availability
and release-specific features in the MATLAB environment used for delivery before publishing.
Curriculum
- 1 Section
- 4 Lessons
- 40 Hours
- Course Curriculum4 Items
SkillDynamo Expert Team
SkillDynamo Expert Team
The SkillDynamo Expert Team delivers practical training in MATLAB programming, data analysis,
machine learning, deep learning, signal and image processing, scientific computing, control systems,
Simulink, and engineering simulation.
- Hands-on MATLAB scripts, functions, apps, and modeling exercises
- Structured data, AI, signal, control, and simulation workflows
- Practical validation, troubleshooting, and project guidance
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