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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 Resilient Streaming Analytics Systems on GC - 한국어

      Skills you'll gain: Dataflow, Real Time Data, Data Pipelines, Big Data, Google Cloud Platform, Performance Tuning, Advanced Analytics, Data Processing, Data Storage Technologies, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Google Cloud 기반 데이터 분석 입문

      Skills you'll gain: Looker (Software), Data-Driven Decision-Making, Data Analysis, Analytics, Big Data, Business Analytics, Google Cloud Platform, Data Visualization Software, Data Transformation, Interactive Data Visualization, Data Cleansing, Data Warehousing, Data Storage, SQL

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      BigQuery para analistas de datos

      Skills you'll gain: Data Cleansing, Data Visualization Software, Data Transformation, Looker (Software), Data Migration, SQL, Big Data, Extract, Transform, Load, Data Pipelines, Google Sheets, Data Analysis, Google Cloud Platform, Cloud Services

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Introduction à l'analyse de données sur Google Cloud

      Skills you'll gain: Data-Driven Decision-Making, Looker (Software), Dashboard, Data Analysis, Analytics, Big Data, Google Cloud Platform, Cloud Storage, Data Storage, Data Visualization Software, SQL, Data Warehousing, Relational Databases

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      運用 BigQuery 建立嵌入項目、向量搜尋和 RAG

      Skills you'll gain: Generative AI, Big Data, Applied Machine Learning, Query Languages, Natural Language Processing

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Manipulation and Transactions in SQL Server

      Skills you'll gain: Transaction Processing, Database Management, Microsoft SQL Servers, Operational Databases, SQL, Data Manipulation, Relational Databases, Data Integrity, Generative AI, Performance Tuning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      데이터 분석가를 위한 BigQuery

      Skills you'll gain: Looker (Software), SQL, Business Intelligence, Data Cleansing, Big Data, Data Manipulation, Data Pipelines, Data Analysis, Data Visualization Software, Data Transformation, Google Sheets, Extract, Transform, Load, Data Processing, Data Integration, Data Storage Technologies, Data Import/Export

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Data Ethics, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Data Pipelines, Linear Algebra, Ggplot2, Dimensionality Reduction, Student Services, Data Processing, Big Data, Agentic systems, Graphing, A/B Testing, Unstructured Data, Deep Learning, Bayesian Statistics, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Michigan

      Master of Applied Data Science

      Skills you'll gain: Data Ethics, Data Storytelling, Database Design, Reinforcement Learning, Supervised Learning, Experimentation, PySpark, Interactive Data Visualization, Generative AI, Pandas (Python Package), Network Analysis, Deep Learning, Applied Machine Learning, Cloud Services, Linear Algebra, Natural Language Processing, JSON, Data Mining, Qualitative Research, Statistical Visualization

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Data Mining, Statistical Modeling, Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Statistical Inference, Service Level, Performance Testing, Statistical Hypothesis Testing, Probability, Dimensionality Reduction, Applied Machine Learning, Data Warehousing, Statistical Machine Learning, Data Pipelines, Data Processing, Probability & Statistics, Data Science, Bash (Scripting Language)

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      Universidad de los Andes

      Maestría en Inteligencia Artificial

      Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Unsupervised Learning, Cloud-Native Computing, Reinforcement Learning, Computer Vision, Natural Language Processing, MLOps (Machine Learning Operations), Containerization, Artificial Intelligence, Linear Algebra, Deep Learning, Generative AI, Dimensionality Reduction, Probability & Statistics, Microservices, Control Systems, Cloud Applications, Data Ethics, Machine Learning Methods

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      C

      Case Western Reserve University

      Basic Principles of Geostatistical Geospatial Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Methods, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Analysis, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software

      Beginner · Course · 1 - 3 Months

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

    • Building Resilient Streaming Analytics Systems on GC - 한국어: Google Cloud
    • Google Cloud 기반 데이터 분석 입문: Google Cloud
    • BigQuery para analistas de datos: Google Cloud
    • Introduction à l'analyse de données sur Google Cloud : Google Cloud
    • 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG: Google Cloud
    • Data Manipulation and Transactions in SQL Server: Microsoft
    • 데이터 분석가를 위한 BigQuery: Google Cloud
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Master of Applied Data Science: University of Michigan
    • Data Science Graduate Certificate: University of Colorado Boulder

    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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