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  • Claims Processing

Results for "claims processing"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Python Project for Data Science

    Skills you'll gain: Dashboard, Pandas (Python Package), Data Presentation, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Microsoft Fabric: Fundamentals and Power BI Workflow

    Skills you'll gain: Data Analysis Expressions (DAX), Real Time Data, Dataflow, Extract, Transform, Load, Business Intelligence

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    DynaTrace Masterclass – The Complete Guide for Beginners

    Skills you'll gain: System Monitoring, Application Performance Management, DevOps, CI/CD, Cloud Management, Transaction Processing, Continuous Monitoring, Multi-Cloud, Hybrid Cloud Computing, Role-Based Access Control (RBAC), Dependency Analysis, Real Time Data

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Fintech: Foundations & Applications of Financial Technology

    Skills you'll gain: FinTech, Portfolio Management, Consumer Lending, Return On Investment, Blockchain, Cryptography, Credit/Debit Card Processing, Digital Assets, Financial Services, Payment Processing, Investments, Lending and Underwriting, Investment Management, Technology Strategies, Emerging Technologies, Risk Analysis, Portfolio Risk, Fundraising and Crowdsourcing, Market Analysis, Fraud detection

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    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

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

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neurohacking In R

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Data Processing, Scientific Visualization, Data Preprocessing, Data Transformation, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    314 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    J

    JetBrains

    Python from Scratch: Learn by Coding

    Skills you'll gain: Integrated Development Environments, File I/O, Software Development Tools, Python Programming, Development Environment, Data Structures, Computer Programming, Programming Principles, Scripting, Code Review, Data Processing, NumPy, Computational Thinking, Software Installation, Numerical Analysis

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Microservices with DDD, CQRS, and Event-Driven

    Skills you'll gain: Microservices, API Gateway, Docker (Software), Containerization, Software Architecture, Software Design Patterns, Restful API, Web Services, Application Programming Interface (API), Event-Driven Programming, Scalability, .NET Framework, Transaction Processing

    Advanced · Course · 1 - 3 Months

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

  • Python Project for Data Science: IBM
  • Microsoft Fabric: Fundamentals and Power BI Workflow: Packt
  • DynaTrace Masterclass – The Complete Guide for Beginners: Coursera
  • Introduction to Data Engineering: IBM
  • Fintech: Foundations & Applications of Financial Technology: University of Pennsylvania
  • Sentiment Analysis with Deep Learning using BERT: Coursera
  • Introduction to Big Data: University of California San Diego
  • Introduction to Neurohacking In R: Johns Hopkins University
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Python from Scratch: Learn by Coding: JetBrains

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