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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: Free Trial
      Free Trial
      M

      MathWorks

      Data Processing and Feature Engineering with MATLAB

      Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Exploratory Data Analysis, Data Visualization, Matlab, Data Processing, Descriptive Statistics, Data Cleansing, Data Manipulation, Histogram, Data Transformation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      347 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Big Data Integration and Processing

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL, PostgreSQL

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Exploring Data Transformation with Google Cloud

      Skills you'll gain: Data Governance, Digital Transformation, Real Time Data, Google Cloud Platform, Data Management, Data Warehousing, Big Data, Looker (Software), Cloud Storage, Analytics, Business Intelligence, Data Processing, Dataflow, Database Systems, Data Migration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      896 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      ADP Entry-Level Compensation and Benefits Analyst

      Skills you'll gain: Compensation Analysis, Compensation Management, Compensation Strategy, Job Evaluation, Benefits Administration, Data Collection, Compensation and Benefits, Job Analysis, Data-Driven Decision-Making, Microsoft Excel, Project Management, Data Analysis, Google Sheets, Human Resource Policies, Regulatory Compliance, Labor Compliance, Human Resource Strategy, Payroll, Human Resources, Timelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Цифровий маркетинг і електронна комерція від Google

      Skills you'll gain: Email Marketing, Order Fulfillment, Media Planning, Social Media Campaigns, Google Ads, Social Media Marketing, Social Media Strategy, Performance Measurement, Order Processing, Customer Acquisition Management, Brand Loyalty, Search Engine Marketing, Content Creation, Target Audience, Search Engine Optimization, Customer Relationship Management, Customer Retention, E-Commerce, Marketing Analytics, Campaign Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.8K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      SQL: A Practical Introduction for Querying Databases

      Skills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Management, Stored Procedure, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      593 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Data Science at Scale

      Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Data Science, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Governance, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      915 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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

    • Y

      Yale University

      Introduction to Medical Software

      Skills you'll gain: Clinical Trials, Software Development Life Cycle, Software Quality Assurance, Systems Development, Usability, Software Development, Medical Privacy, Human Computer Interaction, Verification And Validation, Risk Management, Medical Management, User Interface (UI), Health Care Procedure and Regulation, Software Design, Healthcare Industry Knowledge, Regulatory Compliance, Health Technology, Entrepreneurship, Artificial Intelligence and Machine Learning (AI/ML), Cybersecurity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      262 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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
      ·
      192 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Applied Kalman Filtering

      Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Simulations, Advanced Mathematics, Engineering Analysis, Applied Mathematics, Control Systems, Time Series Analysis and Forecasting, Global Positioning Systems, Probability & Statistics, Systems Of Measurement, Statistical Methods, Probability Distribution, Predictive Analytics, Predictive Modeling, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      21 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Object Tracking and Motion Detection with Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Matlab, Motion Graphics, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Data Processing and Feature Engineering with MATLAB: MathWorks
    • Big Data Integration and Processing: University of California San Diego
    • Exploring Data Transformation with Google Cloud: Google Cloud
    • ADP Entry-Level Compensation and Benefits Analyst: Automatic Data Processing, Inc. (ADP)
    • Цифровий маркетинг і електронна комерція від Google: Google
    • SQL: A Practical Introduction for Querying Databases: IBM
    • Data Science at Scale: University of Washington
    • Basic Data Processing and Visualization: University of California San Diego
    • Introduction to Medical Software: Yale University
    • 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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