Introduction to Data, Signal, and Image Analysis with MATLAB
Master comprehensive data, signal, and image analysis techniques using MATLAB for advanced engineering and scientific research applications.
Master comprehensive data, signal, and image analysis techniques using MATLAB for advanced engineering and scientific research applications.
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 MATLAB Programming for Engineers and Scientists 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.
4.6
(204 ratings)
28,845 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Understand signal, image, and data representation in MATLAB
Apply machine learning methods for data classification and prediction
Master data visualization techniques for high-dimensional datasets
Implement image processing and analysis methods
Perform signal frequency analysis and filter design
Develop practical skills in data manipulation and analysis
Skills you'll gain
This course includes:
11.8 Hours PreRecorded video
16 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course introduces learners to data, signal, and image analysis using MATLAB. The curriculum covers essential topics including data visualization, machine learning methods for classification and prediction, image processing techniques, and signal analysis tasks. Students learn practical applications through hands-on assignments, working with statistical analysis, dimensionality reduction, frequency analysis, and image segmentation. The course emphasizes both theoretical understanding and practical implementation using MATLAB's powerful toolboxes.
Introduction
Module 1 · 23 Minutes to complete
Data analysis in MATLAB
Module 2 · 8 Hours to complete
Signal Analysis in Matlab
Module 3 · 6 Hours to complete
Image Analysis in Matlab
Module 4 · 5 Hours to complete
Final Project
Module 5 · 2 Hours to complete
Fee Structure
Instructor
Innovator in Medical Image Processing and Assistant Professor at Vanderbilt University
Dr. Jack Noble is an Assistant Professor in the Department of Electrical and Computer Engineering at Vanderbilt University, where he specializes in medical image processing and data analysis. He holds a Ph.D. in Electrical Engineering from Vanderbilt University and has dedicated his career to advancing techniques in image segmentation and computer-aided surgery. His research focuses on developing novel image analysis systems to improve otological and neurosurgical procedures, leveraging his expertise to enhance clinical interventions through innovative technology.In addition to his research, Dr. Noble teaches the course "Introduction to Data, Signal, and Image Analysis with MATLAB" on Coursera, where he aims to equip students with essential skills in data analysis and signal processing. His contributions to the field have been recognized through various awards and publications, making him a respected figure in both academic and medical communities. Dr. Noble's work exemplifies the integration of engineering principles with healthcare applications, driving advancements that benefit patient care.
Testimonials
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4.6 course rating
204 ratings
Frequently asked questions
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