Vanderbilt University
Introduction to Data, Signal, and Image Analysis with MATLAB
Vanderbilt University

Introduction to Data, Signal, and Image Analysis with MATLAB

Jack Noble

Instructor: Jack Noble

29,309 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.6

(211 reviews)

Intermediate level
Some related experience required
23 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.6

(211 reviews)

Intermediate level
Some related experience required
23 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Learners will understand how signals, images, and data are represented and manipulated in MATLAB

  • Learners will gain experience with methods for data visualization, including high dimensional datasets in MATLAB

  • Learners will apply machine learning methods for data classification and prediction in MATLAB

  • Learners will learn essential signal frequency analysis and image processing methods in MATLAB

Details to know

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Assessments

16 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the MATLAB Programming for Engineers and Scientists Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course

What's included

1 video2 readings

What's included

6 videos8 assignments7 app items

What's included

6 videos3 assignments8 app items

What's included

5 videos5 assignments4 app items

What's included

2 readings5 app items

Instructor

Instructor ratings
4.7 (86 ratings)
Jack Noble
Vanderbilt University
1 Course29,309 learners

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Recommended if you're interested in Data Analysis

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Learner reviews

4.6

211 reviews

  • 5 stars

    81.04%

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    9.47%

  • 3 stars

    4.73%

  • 2 stars

    1.89%

  • 1 star

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Showing 3 of 211

VM
5

Reviewed on Sep 25, 2023

JP
5

Reviewed on Feb 3, 2021

JW
5

Reviewed on May 20, 2021

New to Data Analysis? Start here.

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