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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
    J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Research Design, Image Analysis, Experimentation, Neurology, Data Preprocessing, Statistical Analysis, Statistical Modeling, Statistical Inference, Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    848 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Predictive Modeling, Model Fitting, and Regression Analysis

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Data Modeling, Data Analysis, Logistic Regression, Descriptive Analytics, Forecasting, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    73 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to R Programming and Tidyverse

    Skills you'll gain: Rmarkdown, Ggplot2, Data Visualization, Tidyverse (R Package), R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Transformation, Software Installation, Programming Principles

    4.2
    Rating, 4.2 out of 5 stars
    ·
    49 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    448 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Introdução à Ciência e Engenharia de Dados

    Skills you'll gain: Big Data, Data Mining, Data-Driven Decision-Making, Data Modeling, Analytics, Data Science, Data Analysis, Business Analytics, Data Processing, Predictive Analytics, Databases, Machine Learning Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    819 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    P

    Packt

    Decoding Large Language Models

    Skills you'll gain: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration

    Advanced · Course · 3 - 6 Months

  • Status: Preview
    Preview
    I

    IBM

    DataOps Methodology

    Skills you'll gain: Data Governance, Data Strategy, Data Management, Data Modeling, Data Quality, Data Literacy, Data Integration, Metadata Management, Data Transformation, Data-Driven Decision-Making, Taxonomy, Business Priorities, Data Pipelines, Sprint Retrospectives, Process Improvement, Sprint Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    932 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

    Skills you'll gain: Responsible AI, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Data Analysis, Deep Learning, Logistic Regression, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Principles of fMRI 1: Johns Hopkins University
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
  • Introduction to R Programming and Tidyverse: University of Colorado Boulder
  • Supervised Machine Learning: Classification: IBM
  • Introdução à Ciência e Engenharia de Dados: Fundação Instituto de Administração
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Decoding Large Language Models: Packt
  • DataOps Methodology : IBM
  • Inferential Statistical Analysis with Python: University of Michigan

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