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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: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AWS Services for AI Solutions

      Skills you'll gain: Prompt Engineering, AWS SageMaker, Generative AI Agents, Generative AI, Amazon Web Services, Solution Architecture, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Computer Vision, Automation, Image Analysis, Scalability, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • S

      Sungkyunkwan University

      Fundamentals of CNNs and RNNs

      Skills you'll gain: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Architecture, Network Model

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Advanced Deep Learning Techniques for Computer Vision

      Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Data Ethics, Computational Thinking, Artificial Intelligence, Data Processing, Linear Algebra, Probability Distribution

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning: Techniques and Applications

      Skills you'll gain: Computer Vision, Machine Learning Algorithms, Image Analysis, Supervised Learning, Applied Machine Learning, Feature Engineering, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Predictive Modeling, Machine Learning, Data Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Power BI for Data Science and Analytics

      Skills you'll gain: Power BI, Business Intelligence, Data Modeling, Data Visualization Software, Data Analysis, Key Performance Indicators (KPIs), Dashboard, Data Storytelling, Text Mining, Data Science, Performance Metric, Data Cleansing, Image Analysis, Data Transformation, Data Manipulation, Natural Language Processing

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Total Data Quality

      Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Collection, Data Cleansing, Quality Assurance, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics), Threat Detection, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Science with NumPy, Sets, and Dictionaries

      Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Science, Text Mining, Data Transformation, Data Manipulation, Big Data, Performance Tuning, Python Programming

      3.5
      Rating, 3.5 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

      Skills you'll gain: Feature Engineering, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Machine Learning, Applied Machine Learning, Data Strategy, Data Quality, MLOps (Machine Learning Operations), Unsupervised Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Deep Learning, Data Processing, Exploratory Data Analysis, Artificial Neural Networks, PyTorch (Machine Learning Library), Data Pipelines, Data Transformation, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      92 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Industrial Applications of AI

      Skills you'll gain: Machine Learning Algorithms, Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning, Artificial Intelligence, Civil Engineering, Tensorflow, Automation, Computer Engineering, Engineering Software, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electrical Engineering, Mechanical Engineering, Predictive Modeling, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Encoder-Decoder Architecture

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Getting started with ImageJ

      Skills you'll gain: Image Analysis, Software Installation, Data Analysis, Data Visualization Software, Scientific Visualization, User Interface (UI)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      49 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • AWS Services for AI Solutions: Amazon Web Services
    • Fundamentals of CNNs and RNNs: Sungkyunkwan University
    • Advanced Deep Learning Techniques for Computer Vision: MathWorks
    • Introduction to Computer Vision: University of Colorado Boulder
    • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
    • Power BI for Data Science and Analytics: Edureka
    • Total Data Quality: University of Michigan
    • Data Science with NumPy, Sets, and Dictionaries: Duke University
    • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
    • Industrial Applications of AI: L&T EduTech

    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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