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Data Science Project: MATLAB for the Real World

Enhance your practical data science skills with a comprehensive MATLAB project that includes data exploration, deploying machine learning models.

Enhance your practical data science skills with a comprehensive MATLAB project that includes data exploration, deploying machine learning models.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Practical Data Science with MATLAB Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.7

(25 ratings)

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Instructors:

English

پښتو, বাংলা, اردو, 2 more

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Data Science Project: MATLAB for the Real World

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Apply complete data science workflow to real-world problems

  • Develop and evaluate machine learning models using MATLAB

  • Create meaningful data visualizations for analysis

  • Prepare professional data science reports

  • Effectively communicate results to stakeholders

Skills you'll gain

Data Science
MATLAB
Machine Learning
Data Analysis
Feature Engineering
Predictive Modeling
Data Visualization
Data Cleaning
Statistical Analysis
Project Management

This course includes:

0.5 Hours PreRecorded video

5 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This capstone project course allows students to apply comprehensive data science skills using MATLAB. Students work through a complete data science workflow, including data importation, cleaning, feature engineering, and machine learning model development. The course emphasizes practical application through a real-world taxi demand prediction project, culminating in creating professional data science reports and presentations.

Import and Explore the Data

Module 1 · 2 Hours to complete

Create and Evaluate Features

Module 2 · 1 Hours to complete

Apply Machine Learning

Module 3 · 5 Hours to complete

Communicate Your Results

Module 4 · 3 Hours to complete

Fee Structure

Instructors

Brandon Armstrong
Brandon Armstrong

4.7 rating

105 Reviews

79,364 Students

16 Courses

Manager Online Courses

Brandon Armstrong is a Principal Online Content Developer at MathWorks. He earned a Ph.D. in physics from the University of California at Santa Barbara in 2010.

Matt Rich
Matt Rich

4.9 rating

53 Reviews

50,833 Students

13 Courses

Senior Online Content Developer at MathWorks

Matt Rich is a Senior Online Content Developer at MathWorks, where he specializes in creating educational materials related to MATLAB and its applications in engineering and data science. He holds both a PhD and an MS in Electrical Engineering from Iowa State University. His doctoral research focused on developing new methods for designing control systems over networks that experience communication interruptions due to random processes. His master's research involved system identification and robust control methods tailored for small unmanned aerial vehicles (UAVs) with uncertain physical parameters.

Data Science Project: MATLAB for the Real World

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.7 course rating

25 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.