MATLAB for Data Analytics and Machine Learning
SkillDynamo’s MATLAB for Data Analytics and Machine Learning course combines data preparation, exploratory analysis, statistical modeling, classification, regression, clustering, neural-network concepts, validation, and reporting.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s MATLAB for Data Analytics and Machine Learning course combines data preparation, exploratory analysis, statistical modeling, classification, regression, clustering, neural-network concepts, validation, and reporting.
What You Will Learn
- Prepare and visualize real-world datasets in MATLAB.
- Apply statistical analysis and exploratory data-analysis techniques.
- Train and compare supervised and unsupervised machine-learning models.
- Create a documented end-to-end analytics solution.
Who Should Attend
Data analysts, engineers, researchers, business analytics professionals, and machine-learning beginners.
Recommended Prerequisites
Basic mathematics and introductory programming concepts 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
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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