Data Science Project: MATLAB for the Real World

MathWorks via Coursera

Coursera based on 22 ratings

Likes

Overview

This project-focused course leverages MATLAB to solve real-world data science challenges. You will apply MATLAB’s powerful computational and visualization tools to process, analyze, and model data across domains such as engineering, finance, and healthcare. The curriculum guides you through end-to-end project phases: data import, cleaning, exploratory analysis, algorithm implementation, and result interpretation. Emphasis is on practical application of statistical methods, machine learning algorithms, and automation scripts in MATLAB. Collaborative project management and version control best practices are also included. By...

Syllabus

Import and Explore the Data

In this module you'll be introduced to the goals of the capstone project. You will complete the initial task of preparing a data set and performing an exploratory analysis.

Create and Evaluate Features

In this module you'll perform feature engineering. You'll create a response variable and investigate the relationships between features and the response variable.

Apply Machine Learning

In this module you will perform machine learning. You'll train and customize various models. Using validation data and common evaluation metrics you'll choose the most appropriate model for the problem.

Communicate Your Results

In this module, you'll learn a framework for creating a data science story and the importance of crafting your narrative for the intended audience, along with tips for creating meaningful visualizations.