Practical Data Science with MATLAB is a specialized course designed for professionals seeking to harness the power of data to drive meaningful insights and solutions within their technical domains. This comprehensive program offers a hands-on approach to mastering essential data science skills using MATLAB, a widely adopted tool in engineering and science fields.
The course delves into the critical aspects of data science, empowering participants to effectively analyze and model large datasets, process and engineer features for machine learning applications, and create reports and interactive documents to communicate findings. Throughout the modules, learners will gain proficiency in exploratory data analysis, data processing, predictive modeling, and real-world data science projects, equipping them with the knowledge and confidence needed to excel in a data-driven landscape.
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Practical Data Science with MATLAB covers exploratory data analysis, data processing and feature engineering, predictive modeling and machine learning, and a real-world data science project utilizing MATLAB.
Exploratory Data Analysis with MATLAB delves into the essential techniques for importing and customizing large tabular datasets, computing statistics, and creating customized visualizations. Participants will also learn to use interactive tools to explore, analyze, and visualize data with automated code generation to reproduce results.
Data Processing and Feature Engineering with MATLAB equips learners with the skills to prepare data for further analysis, identify outliers, and merge data from multiple sources. Participants will also explore techniques for handling textual, audio, and image data, and perform unsupervised machine learning.
Predictive Modeling and Machine Learning with MATLAB offers a comprehensive understanding of the full machine learning workflow, including cleaning data, training and evaluating models, and utilizing apps to quickly train machine learning models. Participants will also customize training using cost matrices to emphasize important classes.
Data Science Project: MATLAB for the Real World focuses on applying a full data science workflow, creating meaningful visualizations, and effectively communicating results. Participants will create a final report that includes text, code, and visualizations to share with colleagues.
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