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Get Signal processing problems, solved in MATLAB and in Python with 89% OFF Udemy Coupon

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

★ 4.7 out of 5
(19,499 students enrolled)
Instructor: Mike X Cohen
Last Update:
Language: English

Key Takeaways — Course Overview

The following summarizes all verified data points for Signal processing problems, solved in MATLAB and in Python, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CoursesWyn on .

Course Title: Signal processing problems, solved in MATLAB and in Python

Platform: Udemy (listed via CoursesWyn)

Instructor: Mike X Cohen

Coupon Verified:

Difficulty Level: All Levels

Category: Development

Subcategory: Signal Processing

Duration: 12h 30m of on-demand video

Language: English

Access: Lifetime access to all course lectures and updates

Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements

Top Learning Outcomes: Students who complete Signal processing problems, solved in MATLAB and in Python will be able to: 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

Prerequisites: Basic programming experience in MATLAB or Python

Price: $12.99 with coupon / Regular Udemy price: $119.99. Applying this coupon saves you $107.00 (89% OFF).

Important:

This coupon may not function properly in private/incognito browsing mode. Use a standard browser window and temporarily disable ad blockers or VPN services before clicking the redemption link to ensure the discount is applied correctly.

What You'll Learn

Completing Signal processing problems, solved in MATLAB and in Python gives you the following verified skills and competencies in Development:

  • 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!

Requirements

The following background knowledge and tools are recommended before starting Signal processing problems, solved in MATLAB and in Python. Students without these prerequisites may still enroll but should expect a steeper learning curve.

  • 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. It covers the curriculum structure, teaching methodology, and topic scope for this Development course.

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 This Course Worth It?

Expert review by Andrew Derek, Lead Course Reviewer at CoursesWyn. Last updated: .

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 in Development. Taught by Mike X Cohen on Udemy, the 12h 30m course provides a structured progression from foundational concepts to advanced Signal Processing techniques — making it suitable for learners at all levels. The current coupon reduces the price by 89%, from $119.99 to $12.99, removing the primary financial barrier to enrollment.

What We Like (Pros)

The following advantages were identified:

  • Verified 89% price reduction makes this course accessible on any budget.
  • Aggregate student rating of 4.7 out of 5 indicates high satisfaction.
  • Includes an official Udemy completion certificate and lifetime access.

Keep in Mind (Cons)

The following limitations should be considered:

  • The depth of Signal Processing coverage may be challenging for newcomers.
  • Lifetime access is contingent on the Udemy platform's operation.
  • Hands-on projects require additional time beyond video watch time.

Andrew Derek

Lead Reviewer

View credentials →

"Given the 89% price reduction and verified 4.7-star rating, Signal processing problems, solved in MATLAB and in Python represents one of the strongest value propositions currently available in Development. Enrollment is recommended while this coupon remains active."

Final Verdict: Worth It

Course Rating Summary

Signal processing problems, solved in MATLAB and in Python holds an aggregate rating of 4.7 out of 5 based on 19,499 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.7

19,499 Verified Ratings

5 stars
94%
4 stars
13%
3 stars
4%
2 stars
1%
1 star
1%

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

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 Signal Processing skills.

View Official Instructor Profile ↗

Coupon Help Center

A step-by-step walkthrough showing exactly how to apply a Udemy coupon at checkout — including common issues and how to resolve them.

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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. All answers are based on verified data from Udemy as of .

Is there a verified discount coupon for Signal processing problems, solved in MATLAB and in Python?
Yes. A verified Udemy coupon for Signal processing problems, solved in MATLAB and in Python is available on this page, reducing the price from $119.99 to $12.99 — a saving of $107.00 (89% OFF). The coupon was last verified on March 26, 2026.

How do I apply the Signal processing problems, solved in MATLAB and in Python coupon code?
Click the "Redeem Coupon" button on this page. The 89% discount is automatically applied to the Udemy checkout link. No manual coupon entry is needed.

How long is the Signal processing problems, solved in MATLAB and in Python course on Udemy?
Signal processing problems, solved in MATLAB and in Python consists of 12h 30m of on-demand video. Udemy provides lifetime access to enrolled students, allowing you to revisit all content at any time after purchase.

What skills will I gain from Signal processing problems, solved in MATLAB and in Python?
Signal processing problems, solved in MATLAB and in Python, taught by Mike X Cohen on Udemy, covers the following competencies: 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 . These skills are delivered through 12h 30m of structured Signal Processing content, enabling learners to apply knowledge immediately after each module.

What is the Signal processing problems, solved in MATLAB and in Python Udemy course?
Signal processing problems, solved in MATLAB and in Python is a 12h 30m online course on Udemy, created and taught by Mike X Cohen. It covers Development topics and holds a 4.7-star rating from 19,499 enrolled students. Use the verified coupon on this page to access it at $12.99 (89% OFF the regular $119.99 price).
Andrew Derek

Andrew Derek

Expert Reviewer

Andrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.

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