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: Dataflow, Data Pipelines, Real Time Data, Data Processing, Google Cloud Platform, File I/O, Data Import/Export, Serverless Computing, Data Transformation, Query Languages, SQL, Analytics
Advanced · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Preprocessing, Data Wrangling, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Sampling (Statistics), Exploratory Data Analysis
★ 4.9 (7) · Intermediate · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Database Management Systems, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), Query Languages, PostgreSQL
★ 4.4 (2.4K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Encryption, Cryptography, Machine Learning Methods, Classification Algorithms, Model Training, Probability Distribution, Machine Learning Algorithms, Algorithms
Intermediate · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Internet Of Things, Embedded Software, Embedded Systems, Digital Signal Processing, Peripheral Devices, Computer Hardware, Wireless Networks, Communication Systems, Systems Development, Application Development
★ 4.5 (162) · Mixed · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Microsoft Azure, Big Data, Data Processing, Analytics, Data Pipelines, Databricks, Apache Spark, Data Analysis, Data Integration, Data Warehousing, Extract, Transform, Load, Real Time Data, Data Store, Data Transformation, Scheduling, Data Storage
★ 3.7 (68) · Intermediate · Course · 1 - 3 Months

MathWorks
Skills you'll gain: Image Analysis, Matlab, Computer Vision, Color Theory, Automation Engineering
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dataflow, Serverless Computing, Data Pipelines, Identity and Access Management, Cloud Security, Data Security, Google Cloud Platform, Role-Based Access Control (RBAC), Interoperability, Containerization, Scalability
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Generative Model Architectures, Data Preprocessing, Deep Learning, Markov Model, Model Optimization, Model Training
Mixed · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Digital Signal Processing, Statistical Methods, Statistical Software, Regression Analysis, Data Transformation, Exploratory Data Analysis, Machine Learning Methods, Predictive Modeling, Applied Machine Learning, Data Wrangling, Data Analysis Software, Data Preprocessing, Unsupervised Learning, Statistical Modeling
★ 5 (11) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Data Compilation, Matlab, Scientific Visualization, Data Processing, Data Cleansing, Data Wrangling, Data Manipulation, Histogram, Data Transformation, Data Science, Text Mining, Predictive Modeling, Unstructured Data
★ 4.7 (351) · Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving
Intermediate · Course · 1 - 4 Weeks