Discrete Mathematics 3
★ 5.0 rated · $9.99
Learn and apply cutting-edge data analysis techniques for "big neurodata" (theory and MATLAB/Python code)
$9.99 with coupon (list $149.99 — save $140.00, 93% off)
Coupon Verified: October 1, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the Teaching & Academics skills on the syllabus match what you actually want to learn. The regular price for PCA & multivariate signal processing, applied to neural data on Udemy is $149.99. With the coupon code on this page, that falls to $9.99 — a saving of $140.00, or 93% off the standard rate Spread across 17h 30m of on-demand video, that works out to roughly $0.57 per hour of content — cheaper than a single chapter of most printed Teaching & Academics textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Mike X Cohen walks you through understand advanced linear algebra methods, apply advanced linear algebra methods in MATLAB and Python, and analyzing multivariate time series datasets — skills meant to be used, not just watched. It has already been taken by 6,997 students and holds a 4.8-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Some linear algebra background (3+ hour crash course is provided); Some neuroscience background (or interest in learning!). Best suited to learners who already have footing in Teaching & Academics. Plan for roughly 17h 30m of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from PCA & multivariate signal processing, applied to neural data — taken from the official Udemy syllabus for Teaching & Academics learners.
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!.
What you need before enrolling in PCA & multivariate signal processing, applied to neural data — prerequisites as listed by the instructor on Udemy.
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
The full official description of PCA & multivariate signal processing, applied to neural data — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on October 1, 2026.
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