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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


  • G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Model Optimization, Convolutional Neural Networks, Tensorflow, Model Training, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Fine-tuning, Deep Learning, Google Cloud Platform, Data Preprocessing, Classification Algorithms, Small Data, Cloud API

    ★ 4.6 (549) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Responsible AI, Data Ethics, Model Training, Image Quality, Information Privacy, Data Synthesis

    ★ 4.8 (548) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    ★ 4.4 (1K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • A

    Arizona State University

    Experimental Design Basics

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Science and Research, Statistical Methods, Scientific Methods, Data Analysis Software, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Software, Mathematical Software, Design Strategies, Probability & Statistics, Descriptive Statistics, Variance Analysis

    ★ 4.7 (317) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • U

    University of Colorado Boulder

    Introduction to R Programming and Tidyverse

    Skills you'll gain: Rmarkdown, Ggplot2, R (Software), Plot (Graphics), Data Visualization, Tidyverse (R Package), Statistical Visualization, R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis Software, Statistical Reporting, Data Analysis, Data Validation, Data Transformation, Code Reusability, Software Installation, Programming Principles, Aesthetics

    ★ 4.2 (49) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • U

    University of Cape Town

    Julia Scientific Programming

    Skills you'll gain: Data Import/Export, Box Plots, Jupyter, Statistical Analysis, Data Visualization, Plot (Graphics), Scientific Visualization, Statistical Programming, Programming Principles, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Mathematical Software, Epidemiology, Numerical Analysis, Other Programming Languages, Computer Programming, Statistical Hypothesis Testing, Scripting, Computational Logic

    ★ 4.4 (439) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision

    ★ 4.6 (304) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • U

    University of California, Davis

    Geospatial Analysis with ArcGIS

    Skills you'll gain: ArcGIS, Data Storytelling, GIS Software, Spatial Data Analysis, Data Presentation, Geographic Information Systems, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Heat Maps, Data Visualization Software, Network Analysis, Data Manipulation, Network Routing

    ★ 4.5 (137) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Probability & Statistics, Network Analysis, Dependency Analysis

    ★ 4.6 (1.4K) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • M

    Microsoft

    Microsoft 365 Essentials: Create, Collaborate, and Deliver

    Skills you'll gain: Content Performance Analysis, Multimedia, Microsoft PowerPoint, Microsoft Copilot, Microsoft Word, Microsoft Outlook, Microsoft Excel, Microsoft Teams, Spreadsheet Software, Presentations, Microsoft 365, Microsoft Office, Email Automation, Content Creation, Productivity Software, Collaborative Software, Generative AI, Data Visualization, Data Analysis, Business Communication

    ★ 4.7 (6.4K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • I

    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Business Ethics, AI literacy, Legal Risk, Socioeconomics, Ethical Standards And Conduct, Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Social Impact, Information Privacy, Accountability, Data Quality

    ★ 4.8 (341) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Security Engineer

    Skills you'll gain: Application Performance Management, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Kubernetes, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Load Balancing, Prompt Engineering, Network Monitoring, Prompt Engineering Tools, Cloud Security, Containerization, Virtual Networking, Network Architecture, Infrastructure As A Service (IaaS), Network Routing, DevSecOps, Virtual Private Networks (VPN), Dashboard Creation

    ★ 4.7 (51K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
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In summary, here are 10 of our most popular healthcare data analytics courses

  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Deep Learning with Keras and Tensorflow: IBM
  • Experimental Design Basics: Arizona State University
  • Introduction to R Programming and Tidyverse: University of Colorado Boulder
  • Julia Scientific Programming: University of Cape Town
  • Deep Learning and Reinforcement Learning: IBM
  • Geospatial Analysis with ArcGIS: University of California, Davis
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Microsoft 365 Essentials: Create, Collaborate, and Deliver: Microsoft

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Decision-making (16)
Leadership (15)

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