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    • Signal Processing

    Signal Processing Courses Online

    Master signal processing for analyzing and manipulating signals. Learn about filtering, Fourier transforms, and real-time signal processing.

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    Explore the Signal Processing Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Communications and High-Speed Signals with Raspberry Pi

      Skills you'll gain: Electronics, Digital Communications, Telecommunications, Electronic Components, Hardware Troubleshooting, Hardware Architecture, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow Google Cloud 日本語版

      Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Keras (Neural Network Library), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Supervised Learning, Data Processing, Machine Learning Algorithms, MLOps (Machine Learning Operations), Jupyter, Data Pipelines, Big Data, Deep Learning, Artificial Neural Networks, Dataflow, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      152 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Developing Data Models with LookML

      Skills you'll gain: Looker (Software), Data Modeling, Dashboard, Database Design, Data Warehousing, Performance Tuning, Business Intelligence Software, SQL, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      63 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genomic Data Science and Clustering (Bioinformatics V)

      Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Molecular Biology, Data Mining, Machine Learning, Data Analysis Software, Life Sciences, Algorithms, Exploratory Data Analysis, Probability & Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      92 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Fundamentals of Software Architecture for Big Data

      Skills you'll gain: Service Level, Software Engineering, Software Architecture, Data Architecture, Distributed Computing, Microservices, Transaction Processing, Software Design, Database Systems, Blockchain, Maintainability, Data Structures, Test Driven Development (TDD), Continuous Integration, System Monitoring

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      86 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Digital Thread: Implementation

      Skills you'll gain: Manufacturing Operations, Product Design, Manufacturing and Production, Digital Transformation, Industrial Engineering, Computer-Aided Design, Technology Roadmaps, Process Analysis, Enterprise Resource Planning, Technology Strategies, Information Technology, Business Technologies, Cloud Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      471 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Unilever

      Supply Chain Software Tools

      Skills you'll gain: Supply Chain Systems, Supply Chain Management, Data Management, Data Lakes, Supply Chain Planning, Data Analysis Software, Real Time Data, Business Technologies, Data Storage Technologies, Inventory Management System, Forecasting, Analytics, Demand Planning, Advanced Analytics, Predictive Analytics, Data-Driven Decision-Making, Enterprise Resource Planning, AI Personalization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universitat Autònoma de Barcelona

      Detección de objetos

      Skills you'll gain: Computer Vision, Image Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Histogram

      4.4
      Rating, 4.4 out of 5 stars
      ·
      352 reviews

      Mixed · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Python para Ciencia de Datos

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Data Analysis, Data Visualization Software, Predictive Analytics, Business Analytics, Database Management, Data Science, Relational Databases, Data Processing, Trend Analysis, Forecasting, Data Manipulation, Python Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Enterprise Data Integration, Governance and Architecture

      Skills you'll gain: Data Security, Data Migration, Data Governance, Extract, Transform, Load, Cloud Storage, Data Management, Data Integration, Data Architecture, Enterprise Architecture, Data Storage, Data Modeling, Data Quality, Personally Identifiable Information, Incident Response, Data Loss Prevention, Security Controls, Information Privacy, Data Infrastructure, Computer Security Incident Management, Data Warehousing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      35 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Data for Machine Learning

      Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Exploratory Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica del Perú

      Analítica y ciencia de datos para negocios

      Skills you'll gain: Business Analytics, Dimensionality Reduction, Data Processing, Analytics, Data Cleansing, Data Transformation, Anomaly Detection, Business Analysis, Databases, Feature Engineering, R Programming, Data Analysis, Data Quality, Data Science, Exploratory Data Analysis, Statistical Methods, Unsupervised Learning, Supervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 3 Months

    Signal Processing learners also search

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    In summary, here are 10 of our most popular signal processing courses

    • Communications and High-Speed Signals with Raspberry Pi: Johns Hopkins University
    • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
    • Developing Data Models with LookML: Google Cloud
    • Genomic Data Science and Clustering (Bioinformatics V): University of California San Diego
    • Fundamentals of Software Architecture for Big Data: University of Colorado Boulder
    • Digital Thread: Implementation: University at Buffalo
    • Supply Chain Software Tools: Unilever
    • Detección de objetos: Universitat Autònoma de Barcelona
    • Python para Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Enterprise Data Integration, Governance and Architecture: SkillUp EdTech

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Signal Processing

    In the electrical engineering and machine learning industry, signal processing is the engine that models, processes, transmits, and analyzes voice, video, and audio data. Signal processing transfers and processes information as signals to represent data of physical events. Signal processing is at the core of today's modern technologies, involving voice, data, and video transmission. It’s the science that can foster communication between audio processing and data transmission.

    Signal processing has advanced rapidly in the digital revolution and many now refer to this field as digital signal processing (DSP). Digital signal processing is the process and mathematics involved in manipulating information in such a way as to modify or improve the information in some manner. This information signal could be a snippet of voice, audio, or video.‎

    Signal processing techniques are used in many of our analog and digital interactions today, and that makes it valuable to know. If you have a strong interest in understanding the connections of electronic data and the powering of our modern electronic devices, then learning about signal processing can help you expand your interests and curiosity. For example, signal processing is the science and technology behind what makes it possible for two people to speak on mobile phones using their voice.

    Signal processing lies at the heart of analog-to-digital conversion practices. This would include encoding signals from speech enhancement and speech encoding to speech decoding and speech enhancement speech on the digital-to-analog playback side. Experts in the field rely on signal processing as the tool of choice every step of the way.‎

    Some of the careers that you may be able to find work in as a result of learning signal processing or digital signal processing may include opportunities in chip design, antenna engineering, machine learning, artificial intelligence, RF design, telecoms, and instrumentation systems.

    Understanding the foundational elements of signal processing can propel you forward into a career for the future, like big data, machine learning, and augmented reality. As the world becomes more digital, signals continue to be processed in a digital manner in many of today's modern products.‎

    Taking online courses about signal processing can create a whole new way of thinking around the devices in use today. The signal processing industry is getting bigger every day. As it grows, it lays out new opportunities for learning in specific areas. Your knowledge of signal processing will enlighten you about the ways that voice, video, and data are captured, transmitted, and received by others. If you are seeking to move into the larger electrical engineering field with insights into signal processing, you will likely learn how data design and machine learning come together in new and wondrous ways.‎

    Online Signal Processing courses offer a convenient and flexible way to enhance your knowledge or learn new Signal Processing skills. Choose from a wide range of Signal Processing courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Signal Processing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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