This course is part of the MATLAB Programming for Engineers and Scientists Specialization

4.7
stars
170 ratings

Jack Noble

22,984 already enrolled

Offered By

MATLAB Programming for Engineers and Scientists SpecializationVanderbilt University

About this Course

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Welcome to Introduction to Data, Signal, and Image Analysis with MATLAB!     
MATLAB is an extremely versatile programming language for data, signal, and image analysis tasks. This course provides an introduction on how to use MATLAB for data, signal, and image analysis. After completing the course,  learners will understand how machine learning methods can be used in MATLAB for data classification and prediction; how to perform data visualization, including data visualization for high dimensional datasets; how to perform image processing and analysis methods, including image filtering and image segmentation; and how to perform common signal analysis tasks, including filter design and frequency analysis.

Flexible deadlines

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Earn a Certificate upon completion

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Course 3 of 3 in the

MATLAB Programming for Engineers and Scientists Specialization

Intermediate Level

Approx. 23 hours to complete

English

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What you will 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

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 3 of 3 in the

MATLAB Programming for Engineers and Scientists Specialization

Intermediate Level

Approx. 23 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.72/5 (73 Ratings)

Jack Noble

Assistant Professor

Electrical Engineering & Computer Science

22,984 Learners

1 Course

Offered by

Vanderbilt University

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Syllabus - What you will learn from this course

Week1

Week 1

23 minutes to complete

Introduction

23 minutes to complete

1 video (Total 3 min), 2 readings

Week2

Week 2

9 hours to complete

Data analysis in MATLAB

9 hours to complete

6 videos (Total 293 min)

6 videos

Data Representation16mStatistical Data Analysis13mData Visualization51mDimensionality Reduction55mData Classification1h 39mData Prediction56m

8 practice exercises

Loading and Inspecting Datasets15mDetecting Outliers15mHistogram plots15mScatter plots15mPCA15mSmartphone activity classifier15mPredicting Fuel Efficiency Using Regression Trees15mPredicting Fuel Efficiency Using Gaussian Process Regression15m

Week3

Week 3

6 hours to complete

Signal Analysis in Matlab

6 hours to complete

6 videos (Total 228 min)

Week4

Week 4

5 hours to complete

Image Analysis in Matlab

5 hours to complete

5 videos (Total 186 min)

Reviews

4.7

51 reviews

5 stars
83.52%
4 stars
8.82%
3 stars
4.11%
2 stars
1.76%
1 star
1.76%

TOP REVIEWS FROM INTRODUCTION TO DATA, SIGNAL, AND IMAGE ANALYSIS WITH MATLAB

by JWMay 20, 2021

A fast paced course with ample video presentations and challenging assignments. I enjoyed it a lot and really expanded my knowledge of MATLAB.

by RRNov 19, 2020

Excelente curso. El profesor explica muy bien y los videos estan muy claros. Las taréas son bien dirigidas.

by SBMay 14, 2021

My main target was to get to know about image and audio processing and this course has given me the best basic knowledge to start studying in image and audio processing.

by TFeb 19, 2021

this course awesome! instructor, quizzes and more just awesome. Thank you for everything.

View all reviews

About the MATLAB Programming for Engineers and Scientists Specialization

This Specialization aims to take learners with little to no programming experience to being able to create MATLAB programs that solve real-world problems in engineering and the sciences. The focus is on computer programming in general, but the numerous language features that make MATLAB uniquely suited to engineering and scientific computing are also covered in depth. Topics presented range from basic programming concepts in the first course, through more advanced techniques including recursion, program efficiency, Object Oriented Programming, graphical user interfaces in the second course, to data and image analysis, data visualization and machine learning in the third course.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Introduction to Data, Signal, and Image Analysis with MATLAB

About this Course

What you will learn