Signal processing problems, solved in MATLAB and in Python — 93% OFF Discount Coupon

Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes

★4.6 out of 5
19,612 students
Created by Mike X Cohen
English
Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Signal processing problems, solved in MATLAB and in Python before you enroll:

•Course Name: Signal processing problems, solved in MATLAB and in Python
•Platform: Udemy
•Instructor: Mike X Cohen
•Coupon Last Verified: May 2, 2026
•Level: All Levels
•Topic: Development
•Subtopic: Signal Processing
•Total Time: 12h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Understand commonly used signal processing tools · Know how to generate test signals for signal processing methods · Know what to look for when something isn't right with the data or the code
•Requirements: Basic programming experience in MATLAB or Python · High-school math
•Current Price: $11.99 (was $179.99). You save $168.00 with 93% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Signal processing problems, solved in MATLAB and in Python, you'll have these practical skills:

✓Understand commonly used signal processing tools .
✓Know how to generate test signals for signal processing methods .
✓Know what to look for when something isn't right with the data or the code .
✓Design, evaluate, and apply digital filters .
✓Improve MATLAB or Python programming skills .
✓Clean and denoise data .
✓Fully manually corrected English captions!.

What You Need Before Starting

Before enrolling in Signal processing problems, solved in MATLAB and in Python, make sure you have:

•Basic programming experience in MATLAB or Python
•High-school math

About This Udemy Course

The following is the full official course description for Signal processing problems, solved in MATLAB and in Python as published on Udemy by instructor Mike X Cohen:

Why you need to learn digital signal processing.

Nature is mysterious, beautiful, and complex. Trying to understand nature is deeply rewarding, but also deeply challenging. One of the big challenges in studying nature is data analysis. Nature likes to mix many sources of signals and many sources of noise into the same recordings, and this makes your job difficult.

Therefore, one of the most important goals of time series analysis and signal processing is to denoise: to separate the signals and noises that are mixed into the same data channels.

The big idea of DSP (digital signal processing) is to discover the mysteries that are hidden inside time series data, and this course will teach you the most commonly used discovery strategies.

What's special about this course?

The main focus of this course is on implementing signal processing techniques in MATLAB and in Python. Some theory and equations are shown, but I'm guessing you are reading this because you want to implement DSP techniques on real signals, not just brush up on abstract theory.

The course comes with over 10,000 lines of MATLAB and Python code, plus sample data sets, which you can use to learn from and to adapt to your own coursework or applications.

In this course, you will also learn how to simulate signals in order to test and learn more about your signal processing and analysis methods.

You will also learn how to work with noisy or corrupted signals.

Are there prerequisites?

You need some programming experience. I go through the videos in MATLAB, and you can also follow along using Octave (a free, cross-platform program that emulates MATLAB). I provide corresponding Python code if you prefer Python. You can use any other language, but you would need to do the translation yourself.

I recommend taking my Fourier Transform course before or alongside this course. However, this is not a requirement, and you can succeed in this course without taking the Fourier transform course.


What should you do now?

Watch the sample videos, and check out the reviews of my other courses -- many of them are "best-seller" or "top-rated" and have lots of positive reviews. If you are unsure whether this course is right for you, then feel free to send me a message. I hope you to see you in class!

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Is the Signal processing problems, solved in MATLAB and in Python Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 2, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Signal processing problems, solved in MATLAB and in Python is a high-value resource for learners seeking to build skills inDevelopment. Taught by Mike X Cohen on Udemy, the 12h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 93%, from $179.99 to $11.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 93% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 19,612 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Signal processing problems, solved in MATLAB and in Python:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Signal processing problems, solved in MATLAB and in Python Course holds an aggregate rating of 4.6 out of 5 based on 19,612 student reviews on Udemy.

4.6
★★★★★
19,612 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Mike X Cohen, the instructor responsible for creating and maintaining Signal processing problems, solved in MATLAB and in Python on Udemy.

Signal processing problems, solved in MATLAB and in Python is taught by Mike X Cohen, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Mike X Cohen
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Signal processing problems, solved in MATLAB and in Python, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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