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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.


More to explore:

Popular Healthcare Data Analytics Courses and Certifications


  • C

    CertNexus

    CertNexus Certified Artificial Intelligence Practitioner

    Skills you'll gain: Model Evaluation, Data Ethics, Unsupervised Learning, Convolutional Neural Networks, Random Forest Algorithm, Data Preprocessing, Data Analysis, Regression Analysis, Responsible AI, Recurrent Neural Networks (RNNs), Classification Algorithms, Decision Tree Learning, Data Collection, AI Workflows, Regulatory Compliance, Business Ethics, Learning Strategies, Test Planning, Goal Setting, Productivity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    309 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • U

    University of Colorado Boulder

    Introduction to Python Fundamentals

    Skills you'll gain: Programming Principles, Computer Programming, Data Manipulation, Python Programming, Scripting Languages, Scripting, Data Structures, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    229 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI and Public Health

    Skills you'll gain: Model Evaluation, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Artificial Intelligence, Machine Learning, Applied Machine Learning, Supervised Learning, Information Privacy, Deep Learning, Data Preprocessing, Environmental Monitoring, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    250 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Personalization, Mobile Development, Prompt Engineering Tools, Anthropic Claude, Data Ethics, Apple iOS, AI Product Strategy, Machine Learning Methods, Software Development, Application Design, Cloud Development, Data Strategy, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Application Security, DevSecOps

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Advanced · Specialization · 1 - 3 Months

  • N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • A

    Arizona State University

    Design of Experiments

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Statistical Hypothesis Testing, Design Strategies, Sampling (Statistics), Probability & Statistics, Mathematical Modeling, Analysis, Model Evaluation, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    380 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    Universidad de los Andes

    Introducción a la ciencia de datos aplicada

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    446 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Project: Generative AI Applications with RAG and LangChain

    Skills you'll gain: Vector Databases, LLM Application, Retrieval-Augmented Generation, Generative AI, Embeddings, Document Management, Natural Language Processing, User Interface (UI)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    216 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, AI Security, Social Impact, Information Privacy, Accountability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    310 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Principles of fMRI 2

    Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Analytical Skills, Image Analysis, Statistical Analysis, Advanced Analytics, Network Analysis, Psychology, Time Series Analysis and Forecasting, Matlab, Neurology, Statistical Modeling, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    249 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • CertNexus Certified Artificial Intelligence Practitioner: CertNexus
  • Introduction to Python Fundamentals: University of Colorado Boulder
  • AI and Public Health: DeepLearning.AI
  • Generative AI for Mobile App Developers: IBM
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Machine Learning: Regression: University of Washington
  • Design of Experiments: Arizona State University
  • Introducción a la ciencia de datos aplicada: Universidad de los Andes
  • Project: Generative AI Applications with RAG and LangChain: IBM
  • Generative AI: Impact, Considerations, and Ethical Issues: IBM

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