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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

    • G

      Google Cloud

      Building Batch Data Pipelines on Google Cloud - 한국어

      Skills you'll gain: Dataflow, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Processing, Google Cloud Platform, Data Integration, Serverless Computing, Big Data, Apache Spark, Cloud Storage, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - Español

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Predictive Modeling, Deep Learning, Artificial Intelligence, Natural Language Processing, Computer Vision, Application Programming Interface (API)

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Introduction to AI and Machine Learning on GC - Indonesian

      Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Cloud Solutions, Big Data, Machine Learning, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Achieving Advanced Insights with BigQuery - Português

      Skills you'll gain: SQL, Google Cloud Platform, Data Architecture, Data Security, Performance Tuning, Data Warehousing, Data Manipulation, Data Modeling, Scalability, Data Analysis

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Production Machine Learning Systems - Português Brasileiro

      Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Google Cloud Platform, Tensorflow, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Distributed Computing, Performance Tuning, Scalability, Machine Learning, Data Pipelines, Verification And Validation, Data Processing

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Exploratory Data Analysis & Core ML Algorithms

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Regression Analysis, Statistical Modeling, Data Cleansing, Feature Engineering, Supervised Learning, Data Manipulation, Predictive Analytics, Data Visualization

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Exploring Data Transformation with Google Cloud - Português Brasileiro

      Skills you'll gain: Digital Transformation, Data Warehousing, Google Cloud Platform, Data Governance, Looker (Software), Data Transformation, Data Management, Cloud Storage, Big Data, Real Time Data, Data Migration, Business Intelligence, Data-Driven Decision-Making, Data Pipelines

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Vector Search and Embeddings - Deutsch

      Skills you'll gain: Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Information Architecture, Google Cloud Platform, Natural Language Processing, Cloud API, Program Development, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Application Developers - Bahasa Indonesia

      Skills you'll gain: Cloud Development, Google Cloud Platform, Application Development, Integrated Development Environments, Software Development Tools, Generative AI, Code Review, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - 简体中文

      Skills you'll gain: Data Pipelines, Data Sharing, Data Migration, Google Cloud Platform, Cloud Storage, Metadata Management, Extract, Transform, Load, Data Processing, Apache Airflow, Data Integration, Data Storage, Data Lakes, Automation, Serverless Computing, SQL

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - 日本語版

      Skills you'll gain: Data Sharing, Extract, Transform, Load, Cloud Storage, Google Cloud Platform, Data Migration, Data Pipelines, Data Import/Export, Big Data, Data Infrastructure, Data Warehousing, Apache Airflow, Data Storage, Data Processing, Data Management, Metadata Management, Automation, Serverless Computing

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - Français

      Skills you'll gain: MLOps (Machine Learning Operations), Data Store, Google Cloud Platform, Feature Engineering, Dataflow, Data Processing, Data Modeling, Data Management, Application Deployment, Continuous Deployment, Data Storage

      Intermediate · Course · 1 - 4 Weeks

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

    • Building Batch Data Pipelines on Google Cloud - 한국어: Google Cloud
    • Applying Machine Learning to Your Data with GC - Español: Google Cloud
    • Introduction to AI and Machine Learning on GC - Indonesian: Google Cloud
    • Achieving Advanced Insights with BigQuery - Português: Google Cloud
    • Production Machine Learning Systems - Português Brasileiro : Google Cloud
    • Exploratory Data Analysis & Core ML Algorithms: Packt
    • Exploring Data Transformation with Google Cloud - Português Brasileiro: Google Cloud
    • Vector Search and Embeddings - Deutsch: Google Cloud
    • Gemini for Application Developers - Bahasa Indonesia: Google Cloud
    • Introduction to Data Engineering on Google Cloud - 简体中文: Google Cloud

    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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