Signal processing problems, solved in MATLAB and in Python
Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes
Signal processing problems, solved in MATLAB and in Python by Mike X Cohen Udemy Reviews and Coupons
Course Overview
The Signal processing problems, solved in MATLAB and in Python course by Mike X Cohen on Udemy offers applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python. Spanning approximately 12.5 hours, it includes video lectures, practical exercises, quizzes, and over 10,000 lines of downloadable MATLAB and Python code. The course covers key topics like denoising, Fourier transforms, filtering, and spectral analysis, with a focus on practical implementation over abstract theory. Key features include beginner-friendly explanations, hands-on coding, and relevance for data scientists and engineers.
Mike X Cohen, a neuroscientist and former professor with 20 years of teaching experience, is renowned for his clear instruction in signal processing and data analysis. His extensive online lectures and technical books enhance his credibility. With 17,651 enrolled students and a rating of approximately 4.7/5, this course is highly relevant in 2025, addressing the growing demand for signal processing skills in AI, audio processing, and telecommunications.
User Reviews for Signal processing problems Courses
Students praise the course for its clarity, practical exercises, and real-world applicability. Many highlight Mike’s ability to make complex DSP concepts accessible. One learner said, “The coding examples in Python and MATLAB were a game-changer for understanding filtering techniques.” Another noted, “The exercises helped me apply signal processing to my audio project immediately.” The extensive code library and focus on practical applications are frequently cited strengths.
Minor critiques include the course’s reliance on MATLAB, which some Python users found less relevant, and a desire for more advanced topics like real-time processing. One reviewer commented, “It’s great for beginners, but I wanted deeper dives into cutting-edge DSP algorithms.” Despite these points, the course maintains a 4.7/5 rating from approximately 2,344 reviews, reflecting its effectiveness for practical learning.
Signal processing problems Coupons and Discounts
As of April 30, 2025, the course is available for $9.99 using the coupon code 202504, valid until the end of April 2025 or for the first 1,000 enrollments. For additional discounts, check platforms like Coutons.com, GitHub, or LinkedIn, where Udemy coupons are often shared. Udemy’s major sales, such as Black Friday and New Year promotions, typically offer courses for $9.99–$12.99. To avoid paying the full price (up to $99.99), enroll during these sales or apply coupon codes promptly, noting that prices may vary by region due to currency differences.
Why Choose This Signal processing problems Course?
This course excels due to its expert instruction, practical focus, and affordability. Mike X Cohen’s extensive experience ensures learners gain actionable skills in signal processing, critical for 2025’s tech landscape, including AI, audio, and telecommunications. The hands-on exercises in MATLAB and Python, coupled with a vast code library, prepare students for real-world challenges. Lifetime access and a 30-day money-back guarantee make it a low-risk investment for beginners and professionals aiming to advance their careers in data science or engineering.
Conclusion
Signal processing problems, solved in MATLAB and in Python by Mike X Cohen is a top choice for mastering signal processing with practical coding skills. With a 4.7/5 rating, extensive code resources, and expert guidance, it’s ideal for career growth in tech. Use the 202504 coupon to enroll for $9.99 before it expires, and check Udemy or trusted coupon sites for more discounts. Enroll today to unlock your potential in signal processing! Coupon availability and prices may vary. Verify discounts on Udemy or trusted coupon sites.
