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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
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Generative AI, Data Wrangling, Large Language Modeling, Unit Testing, Supervised Learning, Feature Engineering, Keras (Neural Network Library), Deep Learning, ChatGPT, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Unsupervised Learning, Data Manipulation, PyTorch (Machine Learning Library), Artificial Intelligence, Data Import/Export, Data Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      85K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Meta

      Meta Database Engineer

      Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, Database Management, MySQL Workbench, Extract, Transform, Load, Data Modeling, Data Structures, SQL, Unix Commands, Relational Databases, Databases, Git (Version Control System), Database Systems, Stored Procedure, Object Oriented Programming (OOP), Unit Testing, Algorithms, Django (Web Framework)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      ISC2

      Certified in Cybersecurity

      Skills you'll gain: Network Security, Incident Response, Security Controls, Business Continuity, Disaster Recovery, Information Assurance, Configuration Management, Cybersecurity, Security Management, Cyber Attacks, Computer Security Awareness Training, Data Security, Infrastructure Security, Risk Management Framework, Event Monitoring, Encryption, Threat Detection, Role-Based Access Control (RBAC), Authorization (Computing), Cyber Security Policies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Dimensionality Reduction, Reinforcement Learning, Deep Learning, Data Analysis, Regression Analysis, Statistical Inference, Applied Machine Learning, Machine Learning Algorithms, Data Processing, Machine Learning, Statistical Analysis, Data Access, Anomaly Detection, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • J

      Johns Hopkins University

      GPU Programming

      Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, C and C++, Scalability, Deep Learning, Software Development, Machine Learning Methods, Performance Tuning, Linear Algebra, Distributed Computing, System Programming, Computer Graphics, Computer Hardware, Computer Vision, Numerical Analysis, Computer Architecture, OS Process Management, Data Structures, Performance Testing

      Build toward a degree

      2.7
      Rating, 2.7 out of 5 stars
      ·
      145 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      N

      Nanjing University

      用Python玩转数据 Data Processing Using Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Statistical Analysis, Data Mining, Data Analysis, Data Processing, Pandas (Python Package), NumPy, Web Scraping, Python Programming, Data Manipulation, Programming Principles, User Interface (UI) Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Generative AI for Data Engineers

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, OpenAI, Snowflake Schema, Star Schema, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Large Language Modeling, Data Synthesis, Artificial Intelligence, Program Development, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • B

      Berklee

      Electronic Music Production

      Skills you'll gain: Musical Composition, File Management, Music Performance, Music, Media Production, Music Theory, Instrumental Music, Performing Arts, Creativity, Peer Review, Automation, Electronic Media, Design Software, Editing, Patch Management, Software Installation, System Requirements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google

      Análisis de Datos de Google

      Skills you'll gain: Data Storytelling, Presentations, Rmarkdown, Data Presentation, Data Cleansing, Data Visualization, Data Literacy, Ggplot2, Data Validation, Spreadsheet Software, Data Visualization Software, Data Ethics, Data Analysis, Data-Driven Decision-Making, Tableau Software, Data Processing, Dashboard, Business Analysis, Stakeholder Communications, Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      I

      IBM

      IBM Relational Database Administrator

      Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, Database Administration, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Transformation, Data Store, IBM DB2, Jupyter, Generative AI

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Dimensionality Reduction, Regression Analysis, Statistical Inference, Machine Learning Algorithms, Data Processing, Machine Learning, Data Access, Anomaly Detection, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning, Data Cleansing, Data Manipulation, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting, Matlab

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    Signal Processing learners also search

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    1…456…151

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

    • IBM Generative AI Engineering: IBM
    • Meta Database Engineer: Meta
    • Certified in Cybersecurity: ISC2
    • IBM Machine Learning: IBM
    • GPU Programming: Johns Hopkins University
    • 用Python玩转数据 Data Processing Using Python: Nanjing University
    • Generative AI for Data Engineers: IBM
    • Electronic Music Production: Berklee
    • Análisis de Datos de Google: Google
    • IBM Relational Database Administrator: IBM

    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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