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Learner Reviews & Feedback for Introduction to Data, Signal, and Image Analysis with MATLAB by Vanderbilt University

4.7
stars
198 ratings

About the Course

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....

Top reviews

LT

Feb 18, 2022

Gorgeous course, the instructor knows what he´s doing and he knows how to transmit that knowledge! Just the perfect way to start into Data Science, Signal Analysis and Image Analysis

MA

Sep 12, 2024

It was my first course on this amazing platform, I have chosen it because it's related to my new job and I have gained good knowledge and am more confident, thanks a lot!

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51 - 58 of 58 Reviews for Introduction to Data, Signal, and Image Analysis with MATLAB

By Sartono i f

Mar 20, 2023

ok

By Jason P

Jul 9, 2021

Overall a good course but I felt there was a bit too much time spent watching the instructor type.

By anas i

Jul 16, 2021

Very nice course. Instructor is highly skilled.

By Maximilian H

Dec 21, 2022

The audio quality and mixing is partially very poor and hard to listen to. This is especially true during the on-screen demonstrations, where the instructor's voice is very low and grainy, sometimes interjected with very loud audio output from MATLAB, making me jolt and turn down my headphones. For a course teaching audio processing this is quite a poor showing.

Aside from that, the course is quite fun and engaging and I enjoyed most exercises.

By Alireza J

Sep 2, 2022

It's not well as the other 2 courses., but it's ok.

By Jonathan A

Jan 17, 2022

The information is valuable but the assignments are too simplistic and do little to reinforce the material. The course instructors should look at home DeepAI does their Coursera courses.

By Jin.N

Feb 9, 2022

no textbook, no material. poor explanation for statistical functions. I've finished two prior courses but drop this course.

By sri v

Jul 30, 2023

i am not getting videos