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  • Healthcare Data Analytics

Healthcare Data Analytics Courses

Healthcare data analytics courses can help you learn statistical analysis, data visualization, predictive modeling, and patient outcome measurement. You can build skills in interpreting complex datasets, identifying trends in healthcare delivery, and making data-driven decisions to improve patient care. Many courses introduce tools like R, Python, and Tableau, that support analyzing healthcare data and creating impactful visual reports that inform stakeholders about trends and outcomes.


More to explore:

Popular Healthcare Data Analytics Courses and Certifications


  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Case Studies, Data Collection, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    746 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    Scrimba

    Build AI Apps with ChatGPT, Dall-E, and GPT-4

    Skills you'll gain: Prompt Engineering, OpenAI API, Application Deployment, ChatGPT, AI Security, Serverless Computing, Cloud Applications, Model Deployment, LLM Application, Generative AI, Web Applications, Artificial Intelligence, Web Development Tools, Real Time Data

    4.7
    Rating, 4.7 out of 5 stars
    ·
    815 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    P

    Packt

    Decoding Large Language Models

    Skills you'll gain: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration

    Advanced · Course · 3 - 6 Months

  • Status: Preview
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    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

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    B

    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

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    C

    Coursera

    Advanced Multi-Agent AI System

    Skills you'll gain: LangGraph, AI Orchestration, System Monitoring, CrewAI, Agentic Workflows, Continuous Monitoring, Agentic systems, Enterprise Application Management, Event Monitoring, Artificial Intelligence and Machine Learning (AI/ML), Site Reliability Engineering, AI Enablement, Model Deployment, Generative AI Agents, Generative Model Architectures, AI Security, Systems Architecture, Software Architecture, Application Deployment, Middleware

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Copilot Studio

    Skills you'll gain: Prompt Engineering, Microsoft Copilot, AI Workflows, AI Enablement, Generative AI Agents, Model Deployment, No-Code Development, Performance Tuning, Business Logic, Application Deployment, Scalability, Data Integration, User Feedback

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Microsoft Azure, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Natural Language Processing, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
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    978 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Agentic AI Protocols (MCP, A2A, ACP)

    Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Agentic systems, Collaborative Software, System Design and Implementation, Interoperability, Coordination, Communication Systems, Network Protocols, Workflow Management, Case Studies, Scalability

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Predictive Modeling, Model Fitting, and Regression Analysis

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Data Modeling, Data Analysis, Logistic Regression, Descriptive Analytics, Forecasting, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    73 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    746 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular healthcare data analytics courses

  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
  • Build AI Apps with ChatGPT, Dall-E, and GPT-4: Scrimba
  • Decoding Large Language Models: Packt
  • Computational Neuroscience: University of Washington
  • Transformers in Action: A Practical Approach to NLP and AI: Board Infinity
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Advanced Multi-Agent AI System: Coursera
  • Copilot Studio: Coursera
  • Developing AI Applications on Azure: LearnQuest
  • Agentic AI Protocols (MCP, A2A, ACP): Coursera

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