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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.


Popular Healthcare Data Analytics Courses and Certifications


  • C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Defend Against GenAI Social Engineering Attacks

    Skills you'll gain: Cybersecurity, Threat Modeling, AI Enablement, AI Personalization, Artificial Intelligence, Incident Response, Deep Learning

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Generative AI & AWS AI Practitioner Certification

    Skills you'll gain: Responsible AI, Amazon Bedrock, Generative AI, AWS SageMaker, Large Language Modeling, Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Artificial Intelligence, MLOps (Machine Learning Operations), Transfer Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Building Reliable LLM Systems

    Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming, Pandas (Python Package)

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    AI for Brainstorming and Planning

    Skills you'll gain: Brainstorming, Planning, Timelines, Business Planning, Dependency Analysis, Project Schedules, Product Roadmaps, Strategic Planning, Gemini, Coordinating, Generative AI, Artificial Intelligence, Collaborative Software, Project Management, LLM Application, Knowledge Transfer, Operational Analysis, Organizational Skills, Responsible AI, Cross-Functional Collaboration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    137 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    217 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Fine-tuning Image Models with Diffusion

    Skills you'll gain: Model Deployment, Generative AI, AI Workflows, Generative Model Architectures, Development Environment, Image Analysis, Model Evaluation, Performance Tuning, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    의료기술 및 의료기술평가

    Skills you'll gain: Medical Devices, Stakeholder Analysis, Program Evaluation, Regulatory Affairs, Healthcare Industry Knowledge, Cost Benefit Analysis, Health Care Procedure and Regulation, Health Informatics, Health Technology, Health Policy, Regulatory Requirements, Clinical Trials, Medicare, Payment Systems, Financial Analysis, Probability & Statistics

    Beginner · Course · 1 - 4 Weeks

1…208209210…834

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

  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Analyze and Defend Against GenAI Social Engineering Attacks: EDUCBA
  • Generative AI & AWS AI Practitioner Certification: Packt
  • Fine-tune Multimodal Models with Transfer Learning: Coursera
  • Apply Test-Driven ML Code: Coursera
  • Building Reliable LLM Systems: Coursera
  • Build Predictive & Supervised Models: Coursera
  • AI for Brainstorming and Planning: Google
  • Introduction to Computer Vision and Image Processing: IBM
  • DevOps, DataOps, MLOps: Duke University

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