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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
      C

      Coursera Instructor Network

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, OpenAI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Application Development, Data Store, Data Storage Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Fundamentals of Data Analysis

      Skills you'll gain: Data Analysis, Analytics, Statistical Analysis, Data Mining, Spreadsheet Software, Exploratory Data Analysis, Descriptive Analytics, Quantitative Research, Data Cleansing, Data Processing, Data Collection, Advanced Analytics, Statistics, Predictive Analytics, Data Presentation, Regression Analysis, Data Visualization, SQL

      3.7
      Rating, 3.7 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Semantic Segmentation with Amazon Sagemaker

      Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Applied Machine Learning, Application Deployment, Machine Learning Algorithms, Data Processing, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      Association of International Certified Professional Accountants

      Blockchain Evolution and Technology Concepts

      Skills you'll gain: Key Management, Blockchain, Digital Assets, FinTech, Emerging Technologies, Payment Systems, Security Management, Cryptography, Encryption, Distributed Computing, Data Storage Technologies, Transaction Processing, Ledgers (Accounting)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      125 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Preparation and Management

      Skills you'll gain: Extract, Transform, Load, Data Cleansing, Power BI, Data Transformation, Data Management, Data Quality, Data Wrangling, Data Processing, Data Validation, Data Integration, Data Modeling, Data Import/Export, Data Storage

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Advanced Business Analytics Capstone

      Skills you'll gain: Data Presentation, Data Cleansing, Predictive Analytics, Predictive Modeling, Business Analytics, Analytics, Financial Analysis, Advanced Analytics, Data Analysis, Technical Communication, Data Processing, Data Manipulation, Statistical Modeling, Regression Analysis, Business Communication

      4.3
      Rating, 4.3 out of 5 stars
      ·
      84 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Machine Learning Rapid Prototyping with IBM Watson Studio

      Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Cloud Machine Learning Engineering and MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      84 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Predictive Models for Toxic Chemical Releases

      Skills you'll gain: Chemical Engineering, Hazard Communication (HazCom), Safety Assurance, Process Engineering, Engineering Analysis, Pollution Prevention, Environmental Engineering, Engineering Calculations, Risk Analysis, Mathematical Modeling, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      46 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Serverless Data Processing with Dataflow:Foundations Español

      Skills you'll gain: Dataflow, Serverless Computing, Data Pipelines, Data Processing, Cloud Security, Identity and Access Management, Google Cloud Platform, Data Transformation, Containerization, Data Storage Technologies, Scalability

      Intermediate · Course · 1 - 3 Months

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

    • Introduction to Retrieval Augmented Generation (RAG): Coursera Instructor Network
    • Machine Learning Using SAS Viya: SAS
    • Fundamentals of Data Analysis: LearnQuest
    • Semantic Segmentation with Amazon Sagemaker: Coursera Project Network
    • Blockchain Evolution and Technology Concepts: Association of International Certified Professional Accountants
    • Introduction to Machine Learning with Python: Arizona State University
    • Data Preparation and Management: Microsoft
    • Advanced Business Analytics Capstone: University of Colorado Boulder
    • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
    • Cloud Machine Learning Engineering and MLOps: Duke University

    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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