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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Exploratory Data Analysis with MATLAB (Coursera) Coursera
MathWorks

Exploratory Data Analysis with MATLAB (Coursera)

Dive into the world of data analysis with 'Exploratory Data Analysis with MATLAB'. This course is designed for those who want to learn how to explore, analyze, and interpret data using MATLAB. By the end of this course, you'll be able to think like a data scientist, use interactive features in MATLAB to extract subsets and compute statistics, generate code automatically, and effectively communicate your analysis through live scripts.

Jun 29th 2026
5-12 Weeks
Data Science Project: MATLAB for the Real World (Coursera) Coursera
MathWorks

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

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 29th 2026
4 Weeks
Object Tracking and Motion Detection with Computer Vision (Coursera) Coursera
MathWorks

Object Tracking and Motion Detection with Computer Vision (Coursera)

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 29th 2026
4 Weeks
Machine Learning for Computer Vision (Coursera) Coursera
MathWorks

Machine Learning for Computer Vision (Coursera)

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 29th 2026
4 Weeks
Data Processing and Feature Engineering with MATLAB (Coursera) Coursera
MathWorks

Data Processing and Feature Engineering with MATLAB (Coursera)

Expand your data analytics capabilities by learning Data Processing and Feature Engineering with MATLAB. This comprehensive course is designed for those who want to delve deeper into combining diverse datasets and preparing them for predictive modeling. Perfect for data enthusiasts, analysts, and aspiring data scientists looking to enhance their skills in handling complex datasets using MATLAB's robust features.

Jun 22nd 2026
5-12 Weeks
Predictive Modeling and Machine Learning with MATLAB (Coursera) Coursera
MathWorks

Predictive Modeling and Machine Learning with MATLAB (Coursera)

Dive into the world of Predictive Modeling and Machine Learning with MATLAB, a course designed for those who want to harness the power of computational tools without needing extensive programming backgrounds. Build upon your skills in Exploratory Data Analysis and Data Processing to create powerful data analysis solutions relevant to your field.

Jun 22nd 2026
4 Weeks
Image Segmentation, Filtering, and Region Analysis (Coursera) Coursera
MathWorks

Image Segmentation, Filtering, and Region Analysis (Coursera)

Expand your knowledge in image processing by diving into advanced techniques such as filtering out noise, employing spatial filters, conducting edge detection, utilizing clustering methods for segmentation, and analyzing regions of interest. This course is designed for those who want to delve deeper into the intricacies of image analysis.

Jun 22nd 2026
4 Weeks
Introduction to Image Processing (Coursera) Coursera
MathWorks

Introduction to Image Processing (Coursera)

Embark on an exciting journey into the world of image processing with our beginner-friendly course. From loading and saving images to performing advanced adjustments like segmentation and quantitative analysis, this course is designed to equip you with essential skills in manipulating digital imagery. Perfect for enthusiasts and professionals alike who want to delve deeper into visual data analysis.

Jun 22nd 2026
4 Weeks
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