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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

    • D

      Duke University

      GenAI Basics - How LLMs Work

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, Machine Learning, Artificial Intelligence, Data Processing, Data Science, Data Modeling

      3.9
      Rating, 3.9 out of 5 stars
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      Splunk Inc.

      Splunk Knowledge Manager 101

      Skills you'll gain: Splunk, Dashboard, Incident Management, Information Management, Event Monitoring, Data Modeling, Data Processing, Query Languages, Data Management, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Tesla Stock Price Prediction using Facebook Prophet

      Skills you'll gain: Technical Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Financial Forecasting, Applied Machine Learning, Trend Analysis, Financial Analysis, Google Sheets, Interactive Data Visualization, Data Manipulation

      4.2
      Rating, 4.2 out of 5 stars
      ·
      137 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • I

      ISC2

      Systems and Application Security

      Skills you'll gain: Malware Protection, Endpoint Security, Mobile Security, Cloud Security, Application Security, Cloud Computing, Threat Detection, Cybersecurity, Virtualization, Virtual Machines, Intrusion Detection and Prevention, Human Factors (Security), Encryption

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Data Science for Professionals

      Skills you'll gain: Predictive Modeling, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Linux and Bash for Data Engineering

      Skills you'll gain: Bash (Scripting Language), Linux Commands, Shell Script, Linux, Linux Administration, Unix Shell, File Management, Unix, Unix Commands, File Systems, Scripting, Command-Line Interface, Scripting Languages, Remote Access Systems, Data Manipulation, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      128 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      The Merkle Tree and Cryptocurrencies

      Skills you'll gain: Blockchain, Cryptography, Data Integrity, Encryption, FinTech, Network Security, Transaction Processing, Data Structures, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Cáncer de próstata

      Skills you'll gain: Oncology, Patient Evaluation, Preventative Care, Urology, Medical Imaging, Risk Analysis, Orthopedics, Anatomy, Treatment Planning, Radiation Protection, Surgery

      4.8
      Rating, 4.8 out of 5 stars
      ·
      169 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      LangChain MasterClass: Build 15 LLM Apps with Python

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, OpenAI, Application Development, Generative AI, Artificial Intelligence, Python Programming, Natural Language Processing, Data Processing, Semantic Web, Text Mining, Query Languages, Application Programming Interface (API)

      3.3
      Rating, 3.3 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Object-Oriented Programming in C++: Functions

      Skills you'll gain: Pseudocode, C++ (Programming Language), Integrated Development Environments, Object Oriented Programming (OOP), Development Environment, Algorithms, Debugging, Programming Principles, Data Import/Export, File Systems, Data Structures

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • S

      SAS

      Using SAS Viya REST APIs with Python and R

      Skills you'll gain: SAS (Software), Data Analysis Software, Advanced Analytics, R Programming, Big Data, Image Analysis, Data Science, Time Series Analysis and Forecasting, Natural Language Processing, Jupyter, Predictive Modeling, Text Mining, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Application Programming Interface (API), Computer Vision, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Mixed · Course · 1 - 3 Months

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

    • GenAI Basics - How LLMs Work: Duke University
    • Splunk Knowledge Manager 101: Splunk Inc.
    • Tesla Stock Price Prediction using Facebook Prophet: Coursera Project Network
    • Systems and Application Security: ISC2
    • Data Science for Professionals: Coursera Instructor Network
    • Linux and Bash for Data Engineering: Duke University
    • The Merkle Tree and Cryptocurrencies: University of California, Irvine
    • Cáncer de próstata: Universidad Nacional Autónoma de México
    • LangChain MasterClass: Build 15 LLM Apps with Python: Packt
    • Object-Oriented Programming in C++: Functions: University of London

    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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