Signal processing courses can help you learn about Fourier transforms, filtering techniques, and signal modulation. You can build skills in analyzing audio and visual signals, implementing algorithms for noise reduction, and working with time-frequency analysis. Many courses introduce tools like MATLAB and Python libraries, that support simulating signal processing techniques and analyzing real-world data.

Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Deep Learning, Network Architecture
★ 4.3 (1.4K) · Intermediate · Course · 1 - 3 Months

MathWorks
Skills you'll gain: Image Analysis, Computer Vision, Matlab, Anomaly Detection, Geospatial Information and Technology, Machine Learning Methods, Algorithms
★ 4.6 (58) · Intermediate · Course · 1 - 4 Weeks
MathWorks
Skills you'll gain: Plot (Graphics), Scripting, Matlab, Data Manipulation, Scientific Visualization, Mathematical Modeling, Data Analysis, Data Visualization, Statistical Methods, Data Visualization Software, Data Processing, Descriptive Statistics, Interactive Data Visualization, Data Access, File I/O, Exploratory Data Analysis, Data Mapping, Data Cleansing, Technical Communication
Beginner · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Dimensionality Reduction, Digital Signal Processing, Data Analysis, Predictive Modeling, Data Processing, Classification Algorithms
★ 4.6 (233) · Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Electronics, Systems Of Measurement, Digital Signal Processing, Data Processing, Electronic Components, Statistical Methods, Open Source Technology, Mathematical Modeling
★ 4.9 (15) · Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Generative Model Architectures, Embeddings, Digital Signal Processing, Transfer Learning, Machine Learning Methods, Classification Algorithms
★ 4.4 (29) · Advanced · Course · 1 - 4 Weeks
Skills you'll gain: Image Quality, Digital Signal Processing, Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Medical Imaging, Applied Mathematics, Sensory Systems Analysis, Spatial Analysis, Linear Algebra, Matlab, Mathematical Modeling, Histogram, Differential Equations
★ 4.7 (1.1K) · Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: Apache Airflow, Model Optimization, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Model Training, Embeddings, Performance Tuning, Deep Learning, Digital Signal Processing
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, File I/O, Automation, Digital Signal Processing, Anomaly Detection, Spatial Data Analysis, Geospatial Information and Technology, Engineering Practices, Medical Imaging, Spatial Analysis, Mathematical Software, Data Preprocessing, Quantitative Research, Algorithms, File Management, Data Store
★ 4.7 (254) · Beginner · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Geospatial Information and Technology, Environmental Monitoring, Spatial Data Analysis, Model Evaluation, Geographic Information Systems, GIS Software, Data Processing, Spatial Analysis, Image Analysis, Environmental Science, Data Analysis, Data Transformation, Verification And Validation, Technical Communication
Beginner · Course · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Applied Machine Learning, Dimensionality Reduction, Large Language Modeling, Text Mining, Statistical Machine Learning, Fine-tuning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Machine Learning Methods, Logistic Regression, Feature Engineering
★ 4.6 (6.2K) · Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Science, Databases, Data Integration, SQL, Query Languages, File I/O, Data Architecture, Data Manipulation, Distributed Computing, Performance Tuning
★ 4.6 (9) · Intermediate · Specialization · 3 - 6 Months