Data Science Project: MATLAB for the Real World

  • 4.8
Approx. 13 hours to complete

Course Summary

This course focuses on using MATLAB for data analysis, visualization, and modeling. Students will work on a capstone project that involves solving a real-world problem using MATLAB.

Key Learning Points

  • Learn how to use MATLAB for data analysis, visualization, and modeling
  • Work on a capstone project to solve a real-world problem
  • Get hands-on experience with MATLAB

Job Positions & Salaries of people who have taken this course might have

  • Data Analyst
    • USA: $65,000 - $120,000
    • India: ₹300,000 - ₹2,000,000
    • Spain: €25,000 - €50,000
  • Research Scientist
    • USA: $70,000 - $150,000
    • India: ₹500,000 - ₹3,000,000
    • Spain: €30,000 - €60,000
  • Mathematical Modeler
    • USA: $80,000 - $130,000
    • India: ₹600,000 - ₹2,500,000
    • Spain: €35,000 - €55,000

Related Topics for further study


Learning Outcomes

  • Gain proficiency in MATLAB
  • Develop skills in data analysis, visualization, and modeling
  • Solve a real-world problem using MATLAB

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of programming concepts
  • Familiarity with MATLAB

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Python for Data Science
  • R Programming

Related Education Paths


Notable People in This Field

  • Steve Eddins
  • Loren Shure

Related Books

Description

Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. You will choose your own pathway to answer key questions with the provided data.

Outline

  • Import and Explore the Data
  • Practical Data Science with MATLAB
  • Instructor Introduction
  • Introduction to the Capstone Project
  • Creating the Taxi Regions
  • Preparing Your Dataset
  • Overview of the Capstone Project
  • Download and Install MATLAB
  • Data and Code Files
  • Tasks for Creating the Taxi Regions
  • Tasks for Exploring and Cleaning the Taxi Data
  • Tasks for Creating the Grouped Summary Table
  • Exploring the Taxi Data by Region
  • Exploring the Grouped Summary Table
  • Create and Evaluate Features
  • Introduction to Module 2
  • Your Tasks for the Module
  • Create the Response Variable
  • Creating and Evaluating Features
  • Exploring the Demand for Taxis
  • Which Features are Important?
  • Apply Machine Learning
  • Introduction to Module 3
  • Preparing for Your Final Report
  • Your Modeling Tasks
  • Your Analysis Tasks
  • Data Science Report Requirements
  • How Does Your Model Perform?
  • Communicate Your Results
  • Storytelling in Data Science
  • Conclusion of Practical Data Science with MATLAB
  • Introduction to Module 4
  • Share Your Results
  • Complete the Course Survey

Summary of User Reviews

The Matlab Capstone course on Coursera has received positive reviews from students. The course covers various topics related to Matlab and provides practical projects. One key aspect that many users thought was good is the hands-on approach to learning.

Pros from User Reviews

  • Practical projects provide hands-on learning experience
  • The course is well-structured and covers various topics related to Matlab
  • Instructors are knowledgeable and provide clear explanations

Cons from User Reviews

  • Some students found the course challenging and difficult to understand
  • Not suitable for beginners with no prior knowledge of Matlab
  • Some students found the course too theoretical
English
Available now
Approx. 13 hours to complete
Michael Reardon, Brandon Armstrong, Erin Byrne, Adam Filion, Heather Gorr, Maria Gavilan-Alfonso, Matt Rich, Isaac Bruss
MathWorks
Coursera

Instructor

Michael Reardon

  • 4.8 Raiting
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