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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


  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Transfer Learning and Fine-Tuning for AI Models

    Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    W

    Whizlabs

    Microsoft Foundry Essentials: RAG, Fine-Tuning and AI Agents

    Skills you'll gain: Retrieval-Augmented Generation, Generative AI Agents, Model Deployment, Generative AI, Agentic Workflows, Microsoft Azure, AI Workflows, Model Evaluation, Model Training, Fine-tuning, Microsoft Development Tools, MLOps (Machine Learning Operations), AI Integrations, Large Language Modeling, Model Optimization, Agentic systems

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Digital Marketing and E-commerce

    Skills you'll gain: Data Storytelling, Performance Measurement, Digital Media Strategy, Performance Metric, Search Engine Marketing, Conversion Funnel Analysis, Data-Driven Decision-Making, Search Engine Optimization, Branding, Web Analytics and SEO, Digital Marketing, Customer Engagement, Marketing Planning, Marketing Strategies, Marketing, E-Commerce, Email Marketing, Brand Awareness, Marketing Analytics, Performance marketing

    4.8
    Rating, 4.8 out of 5 stars
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    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Keras (Neural Network Library), Model Evaluation, Model Training

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford Online

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
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    1.6K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    AI Agents and Agentic AI with Python & Generative AI

    Skills you'll gain: Agentic systems, Generative AI Agents, Agentic Workflows, LLM Application, OpenAI API, AI Workflows, Tool Calling, Prompt Engineering, Prompt Patterns, Software Documentation

    4.6
    Rating, 4.6 out of 5 stars
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    469 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods, Statistical Hypothesis Testing, Data Visualization, Decision Intelligence, Operations Research, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Statistical Analysis, Sampling (Statistics), Statistical Inference, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Statistical Methods, Applied Mathematics, Risk Management, Finance, Correlation Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learning Model Engineering and Optimization

    Skills you'll gain: Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Model Training, Model Deployment, AI Workflows, Convolutional Neural Networks, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Performance Tuning, Network Model, Artificial Neural Networks, Technical Communication

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Good

    Skills you'll gain: Model Evaluation, Fine-tuning, Disaster Recovery, Data Analysis, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Image Analysis, Machine Learning Algorithms, Model Training, Data Ethics, Responsible AI, Emergency Response, Climate Change Adaptation, Artificial Intelligence, Machine Learning, Applied Machine Learning, Computer Vision, Supervised Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    619 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Machine Learning: Classification: University of Washington
  • Transfer Learning and Fine-Tuning for AI Models: Edureka
  • Microsoft Foundry Essentials: RAG, Fine-Tuning and AI Agents: Whizlabs
  • Foundations of Digital Marketing and E-commerce: Google
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Probabilistic Graphical Models: Stanford Online
  • Introduction to Machine Learning: Duke University
  • AI Agents and Agentic AI with Python & Generative AI: Vanderbilt University
  • Probability and Statistics: To p or not to p?: University of London
  • An Intuitive Introduction to Probability: University of Zurich

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