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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

    • S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • P

      Packt

      Natural Language Processing with Real-World Projects

      Skills you'll gain: Matplotlib, Natural Language Processing, Linear Algebra, Data Visualization, Machine Learning Algorithms, Deep Learning, NumPy, Semantic Web, Seaborn, Pandas (Python Package), Machine Learning, Artificial Neural Networks, Data Processing, Supervised Learning, Text Mining, Unstructured Data, Applied Machine Learning, Markov Model, Dimensionality Reduction, Python Programming

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Basic Data Processing and Visualization

      Skills you'll gain: Data Processing, Data Manipulation, Interactive Data Visualization, Web Scraping, Data Visualization Software, Pandas (Python Package), Data Science, Data Cleansing, Matplotlib, Data Import/Export, NumPy, Jupyter, JSON, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      196 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • U

      University of London

      Virtual Reality

      Skills you'll gain: Virtual Reality, Augmented and Virtual Reality (AR/VR), Unity Engine, Video Game Development, Visualization (Computer Graphics), Computer Graphics, Game Design, Virtual Environment, Prototyping, Interaction Design, Storyboarding, User Interface (UI), Human Computer Interaction, Animations, Ideation, Usability Testing, Human Machine Interfaces, Display Devices, Technical Design, Usability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Introduction to Big Data

      Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis, Real Time Data, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Mixed · Course · 1 - 3 Months

    • M

      MedCerts

      Medical Billing and Coding Essentials

      Skills you'll gain: Revenue Cycle Management, Medical Billing and Coding, ICD Coding (ICD-9/ICD-10), Electronic Medical Record, Copayment Collection and Processing, Health Care Procedure and Regulation, Medical Privacy, Healthcare Industry Knowledge, Patient Registration, Health Information Management, Medicare, Medical Terminology, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      507 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Azure AI Fundamentals AI-900 Exam Prep

      Skills you'll gain: Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      Tally Education and Distribution Services Private Limited

      Tally Bookkeeper

      Skills you'll gain: Accounts Payable and Receivable, Accounting, Financial Reporting, Bookkeeping, Accounting Software, Budgeting, Accounting and Finance Software, Tax Returns, Data Import/Export, Inventory Management System, Order Management, Tax Management, General Ledger, Inventory Accounting, Tax Compliance, Inventory Control, Banking Services, Cost Management, Payroll Tax, Invoicing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      191 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • T

      The Hong Kong University of Science and Technology

      Introduction to Computers and Office Productivity Software

      Skills you'll gain: Computer Hardware, Computer Graphics, Computer Systems, Graphics Software, Spreadsheet Software, Document Management, File Management, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 3 Months

    • C

      Columbia University

      Camera and Imaging

      Skills you'll gain: Image Analysis, Computer Vision, Photography, Color Theory, Computer Graphics, Visualization (Computer Graphics), Electronic Components, Semiconductors, Algorithms, Linear Algebra, Advanced Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      142 reviews

      Beginner · Course · 1 - 3 Months

    Signal Processing learners also search

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    1…141516…152

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

    • Probabilistic Graphical Models 1: Representation: Stanford University
    • Natural Language Processing with Real-World Projects: Packt
    • Basic Data Processing and Visualization: University of California San Diego
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Virtual Reality: University of London
    • Natural Language Processing with Sequence Models: DeepLearning.AI
    • Introduction to Big Data: University of California San Diego
    • Medical Billing and Coding Essentials: MedCerts
    • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
    • Tally Bookkeeper: Tally Education and Distribution Services Private Limited

    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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