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    • Pattern Recognition

    Pattern Recognition Courses Online

    Master pattern recognition for machine learning and AI. Learn to identify patterns in data and develop recognition algorithms.

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    Explore the Pattern Recognition Course Catalog

    • U

      University of Illinois Urbana-Champaign

      Machine Learning for Accounting with Python

      Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Natural Language Processing, Statistical Analysis, Performance Metric

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California San Diego

      Big Data - Capstone Project

      Skills you'll gain: Data Presentation, Data Mining, Data Processing, Big Data, Apache Spark, Splunk, Data Analysis, Unstructured Data, Analytics, Data Manipulation, Network Analysis, Unsupervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      397 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Minnesota

      Nearest Neighbor Collaborative Filtering

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Data Mining, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      304 reviews

      Mixed · Course · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Análise de Dados para Workforce Management

      Skills you'll gain: Workforce Management, People Analytics, Big Data, HR Tech, Workforce Planning, Data Mining, Data-Driven Decision-Making, Human Resource Strategy, Deep Learning, Human Resources Management and Planning, Data Visualization, Digital Transformation, Human Resources, Data Visualization Software, Data Modeling, R Programming, Data Science, Data Manipulation, Machine Learning, Data Structures

      4.3
      Rating, 4.3 out of 5 stars
      ·
      60 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of California San Diego

      Code Free Data Science

      Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Mining, Statistical Methods, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Analytics, Software Installation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      209 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Customer Centric Innovation

      Skills you'll gain: Design Thinking, Innovation, New Product Development, Product Development, Customer Insights, Service Design, Customer experience strategy (CX), User Feedback, Needs Assessment, Consumer Behaviour, Business Strategies, Market Opportunities

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Healthcare Consumerism and Implication for Care Delivery

      Skills you'll gain: Healthcare Industry Knowledge, Health Systems, Change Management, Health Care, Health Care Administration, Health Policy, Consumer Behaviour, Customer experience improvement, Data-Driven Decision-Making, Payment Systems, Innovation, Emerging Technologies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Skills for Working as an AWS Cloud Consultant

      Skills you'll gain: Professional Networking, Leadership Development, Relationship Building, Consulting, Amazon Web Services, Business Relationship Management, Project Management, Brand Management, Brand Awareness, Analysis, Active Listening, Interviewing Skills

      4.8
      Rating, 4.8 out of 5 stars
      ·
      56 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Agile Dev Practices: SDLC & Project Management

      Skills you'll gain: Software Development Life Cycle, Agile Software Development, Agile Methodology, Requirements Analysis, Agile Project Management, Software Development Methodologies, Application Lifecycle Management, Interpersonal Communications, Scrum (Software Development), Sprint Retrospectives, User Story, Waterfall Methodology, Sprint Planning, Quality Management, Continuous Improvement Process

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      Advanced SAS Programming Techniques

      Skills you'll gain: SAS (Software), Perl (Programming Language), Data Processing, Statistical Programming, Data Manipulation, Data Structures, Data Transformation, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      94 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Association Rules Analysis

      Skills you'll gain: Unsupervised Learning, Anomaly Detection, Machine Learning Methods, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Processing, Data Analysis, Machine Learning Algorithms, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • L

      LearnKartS

      Core Java for Complete Beginners

      Skills you'll gain: JUnit, Java, Java Programming, Software Design Patterns, Unit Testing, Object Oriented Programming (OOP), Software Architecture, Debugging, Java Platform Enterprise Edition (J2EE), Software Development, Secure Coding, Maintainability, Software Design, Software Testing, Computer Programming, Test Case, Program Development, Authentications, Application Security, Mathematical Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Beginner · Specialization · 1 - 3 Months

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    In summary, here are 10 of our most popular pattern recognition courses

    • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
    • Big Data - Capstone Project: University of California San Diego
    • Nearest Neighbor Collaborative Filtering: University of Minnesota
    • Análise de Dados para Workforce Management: Fundação Instituto de Administração
    • Code Free Data Science: University of California San Diego
    • Customer Centric Innovation: University of Illinois Urbana-Champaign
    • Healthcare Consumerism and Implication for Care Delivery : Northeastern University
    • Skills for Working as an AWS Cloud Consultant: Amazon Web Services
    • Agile Dev Practices: SDLC & Project Management: Northeastern University
    • Advanced SAS Programming Techniques: SAS

    Skills you can learn in Design And Product

    User Interface (18)
    User Experience (16)
    Software Testing (13)
    Game Design (11)
    Agile Software Development (10)
    Graphics (10)
    Virtual Reality (9)
    Design Thinking (8)
    Web (8)
    Video Game Development (7)
    Web Design (7)
    Adobe Photoshop (6)

    Frequently Asked Questions about Pattern Recognition

    Pattern recognition is the automated recognition of patterns, or repeated designs, in data. It is a part of data mining and consists of multiple mining patterns. Pattern recognition is used for data streams, software bugs, and image analysis. It is also a big part of biological and biomedical studies for patterns of behavior in patients or image analysis like an MRI.‎

    If you have a passion for data mining or want to get into a biomedical career like neuroimaging, learning about pattern recognition will help you dive deeper into pattern discovery and help you explore other areas of interest. Learning about pattern recognition will help you understand data-driven mining and other applications of pattern discovery, which is useful for interpreting real-world data and imaging.‎

    Online courses on Coursera will help you gain an understanding of various areas of data mining including pattern recognition. The instruction provides you the opportunity to learn the necessary skills to practice and progress in pattern recognition. These courses go into numerous topics, helping you learn in-depth material to propel you forward in your career or help you pursue a new area of interest. Online courses on Coursera give you the flexibility to work at any time, and they have experts ready to guide you along as you progress through the course.‎

    You can put your skills and knowledge learned about pattern recognition into a career in computer science or data analytics. With these skills, you'll be able to apply them to improving software and apps to better their performance and problem solve using various methods. You can also go into marketing analysis to understand consumers' behavior and help recognize business opportunities. Another career where pattern recognition is used is in the area of neuroscience to look at brain patterns and read different images like ones from an MRI. In this career, you will use your skills to identify where there is a mishap in the brain's function to help diagnose patients.‎

    Online Pattern Recognition courses offer a convenient and flexible way to enhance your knowledge or learn new Pattern Recognition skills. Choose from a wide range of Pattern Recognition courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Pattern Recognition, 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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