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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


  • 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

  • U

    University of California, Davis

    Creating Dashboards and Storytelling with Tableau

    Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization, Stakeholder Analysis, Tableau Software, Data Visualization Software, Requirements Analysis, Stakeholder Management, Data Cleansing, Storyboarding, Data Manipulation, Data Quality, Data Preprocessing

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

    Beginner · Course · 1 - 4 Weeks

  • G
    N
    G
    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Open Generative AI: Build with Open Models and Tools

    Skills you'll gain: Generative AI Agents, Model Context Protocol, Retrieval-Augmented Generation, Generative Model Architectures, Model Deployment, Responsible AI, Load Balancing, Large Language Modeling, Containerization, AI Security, Docker (Software), Generative AI, Model Evaluation, Agentic systems, LangChain, Restful API, Cloud Deployment, Data Ethics, Data Validation, Image Quality

    Intermediate · Professional Certificate · 3 - 6 Months

  • S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

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

    Advanced · Specialization · 3 - 6 Months

  • C

    Coursera

    Optimize and Deploy Edge AI Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Applied Machine Learning, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Understand and Apply AI Fundamentals with AWS

    Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Responsible AI, AWS SageMaker, Machine Learning, Applied Machine Learning, Amazon Web Services, Convolutional Neural Networks, Supervised Learning, Model Deployment, Natural Language Processing, Ethical Standards And Conduct, Unsupervised Learning, Reinforcement Learning

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Master Dart Programming: Intermediate Control Flow & OOP

    Skills you'll gain: Scalability, Event-Driven Programming, Functional Design, Application Development, User Flows, Application Design, Computer Programming

    Beginner · Course · 1 - 4 Weeks

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

  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Creating Dashboards and Storytelling with Tableau: University of California, Davis
  • Machine Learning for Trading: Google Cloud
  • Estadística y probabilidad: Universidad Nacional Autónoma de México
  • Optimize and Manage Your ML Codebase: Coursera
  • Practical Machine Learning: Johns Hopkins University
  • Open Generative AI: Build with Open Models and Tools: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Optimize and Deploy Edge AI Models: Coursera
  • Natural Language Processing in TensorFlow: DeepLearning.AI

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