PCA & multivariate signal processing, applied to neural data — 90% Off Coupon

Learn and apply cutting-edge data analysis techniques for "big neurodata" (theory and MATLAB/Python code)

4.8 6,471 students enrolledCreated by Mike X CohenLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: PCA & multivariate signal processing, applied to neural data
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Mike X Cohen
•Coupon Verified On: February 5, 2026
•Difficulty Level: All Levels
•Category: Teaching & Academics
•Subcategory: Linear Algebra
•Duration: 17h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: Understand advanced linear algebra methods · Apply advanced linear algebra methods in MATLAB and Python · Analyzing multivariate time series datasets
•Prerequisites: Some linear algebra background (3+ hour crash course is provided) · Some neuroscience background (or interest in learning!)
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓Understand advanced linear algebra methods .
✓Apply advanced linear algebra methods in MATLAB and Python .
✓Analyzing multivariate time series datasets .
✓Learn about modern neuroscience data analysis .
✓Includes a 3+ hour "crash course" on linear algebra .
✓Simulate multivariate data for testing analysis methods .
✓Appreciate the challenges neuroscientists are struggling with!.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•Some linear algebra background (3+ hour crash course is provided)
•Some neuroscience background (or interest in learning!)
•Some MATLAB/Python programming experience (only to complete exercises)
•Interest in learning applied linear algebra

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Mike X Cohen. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Mike X Cohen
•Field: Teaching & Academics
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the PCA & multivariate signal processing, applied to neural data Coupon Worth It?

PCA & multivariate signal processing, applied to neural data is a teaching & academics course offered on Udemy by instructor Mike X Cohen, spanning 17h 30m of on-demand content. It holds a 4.8/5 rating from over 6,471 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on February 5, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.8/5) and enrollment numbers (6,471 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of February 2026. For individual student reviews, visit the course page directly.

4.8
6,471 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

Frequently Asked Questions

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