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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.


Popular Healthcare Data Analytics Courses and Certifications


  • U

    Universidad Austral

    Estadística aplicada a los negocios

    Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    776 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Pragmatic AI Labs

    GitHub: Evaluating and Integrating AI Models

    Skills you'll gain: Responsible AI, Model Evaluation, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Scalability, Authentications, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    Optimization for Decision Making

    Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Data Modeling, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Microsoft Excel, Decision Making, Linear Algebra, Spreadsheet Software, Graphing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    90 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: Job Skills
    Job Skills
    I

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Linux Commands, Software Architecture, Application Deployment, Kubernetes, NoSQL, Bash (Scripting Language), Restful API, MongoDB, Shell Script, Django (Web Framework), Object-Relational Mapping, Git (Version Control System), Grafana, Microservices, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • P

    Packt

    Fundamentals of Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Hands-on Agentic AI: Building Intelligent Agents

    Skills you'll gain: Model Context Protocol, Responsible AI, LangGraph, AI Orchestration, AI Workflows, LangChain, Agentic systems, System Monitoring, CrewAI, OpenAI API, Generative AI Agents, LLM Application, Tool Calling, Agentic Workflows, Compliance Management, Governance, AI Security, Continuous Monitoring, Artificial Intelligence, Enterprise Application Management

    2.3
    Rating, 2.3 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • K

    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

  • Status: Job Skills
    Job Skills
    I

    IBM

    IBM AI Product Manager

    Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Generative Model Architectures, Product Development, Innovation, ChatGPT, Product Roadmaps, Usability Testing, Product Planning, Responsible AI, Commercialization, Generative Adversarial Networks (GANs), Artificial Intelligence, Product Strategy, Project Management Life Cycle

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Implement Real-Time Face Detection with OpenCV & Python

    Beginner · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    Advanced Prompt Engineering for Everyone

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, Generative AI, ChatGPT, AI Personalization, Anthropic Claude, LLM Application, Large Language Modeling, Artificial Intelligence, Context Management, Model Evaluation, Data Analysis, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    645 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Estadística aplicada a los negocios: Universidad Austral
  • GitHub: Evaluating and Integrating AI Models: Pragmatic AI Labs
  • Optimization for Decision Making: University of Minnesota
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • IBM Back-End Development: IBM
  • Fundamentals of Machine Learning: Packt
  • Hands-on Agentic AI: Building Intelligent Agents: Coursera
  • ML Model Development and Tracking: Hands-on Guide: KodeKloud
  • IBM AI Product Manager: IBM
  • Introduction to Neural Networks and PyTorch: IBM

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