Brandon Armstrong

Brandon Armstrong is a Principal Online Content Developer at MathWorks. He earned a Ph.D. in physics from the University of California at Santa Barbara in 2010. His research in magnetic resonance has been cited over 600 times and he is co-inventor on 4 patents. Brandon used MATLAB for simulation, data acquisition, and data analysis during his research tenure. In his spare time he enjoys analyzing baseball data looking for hope for his beloved Chicago Cubs.

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Data Science Project: MATLAB for the Real World (Coursera) Coursera
MathWorks

Data Science Project: MATLAB for the Real World (Coursera)

Statistics & Data Analysis Data Science

Dive deep into practical data science with Coursera's 'Data Science Project: MATLAB for the Real World.' In this comprehensive course, you'll apply all the skills acquired throughout the Practical Data Science with MATLAB specialization to tackle real-world problems. Choose your own dataset and embark on a journey of exploration, preparation, analysis, modeling, evaluation, and communication to answer key questions using MATLAB.

Jun 15th 2026
4 Weeks
ML MATLAB Machine Learning
Details
Object Tracking and Motion Detection with Computer Vision (Coursera) Coursera
MathWorks

Object Tracking and Motion Detection with Computer Vision (Coursera)

Engineering

Embark on a journey into the world of Computer Vision as you learn to track objects and detect motion in videos. This comprehensive course is designed for those interested in applying advanced techniques to fields such as microbiology and autonomous systems. You'll harness pre-trained deep neural networks for object detection and optical flow for detecting motion, unlocking new capabilities in video analysis.

Jun 15th 2026
4 Weeks
MATLAB Computer Vision Object Detection
Details
Machine Learning for Computer Vision (Coursera) Coursera
MathWorks

Machine Learning for Computer Vision (Coursera)

Data Science

Dive into the world of Computer Vision with this specialized course on Machine Learning for Computer Vision. Master two essential tasks: image classification and object detection. Gain hands-on experience in preparing datasets, training models, and evaluating results. Perfect for engineers, scientists, and anyone passionate about leveraging machine learning to analyze visual data.

Jun 15th 2026
4 Weeks
MATLAB Machine Learning Computer Vision
Details
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