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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


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    Creo Incubator

    Entrepreneurship: Scaling & GTM Growth Strategy

    Skills you'll gain: Go To Market Strategy, Competitive Analysis, Growth Strategies, Product Development, Market Opportunities, User Experience, Market Analysis, Sales Strategy, Brand Strategy, Marketing Strategies, Product Marketing, Entrepreneurship, Business Strategy, Product Management, Market Research, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 3 Months

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    Packt

    Make Apps with ChatGPT and Generative AI

    Skills you'll gain: Prompt Engineering, ChatGPT, No-Code Development, OpenAI, LLM Application, Generative AI, Microsoft Power Platform, Email Automation, Application Development, Microsoft Power Automate/Flow, Serverless Computing, Microsoft Azure, Microsoft Outlook, Email Marketing

    Intermediate · Course · 3 - 6 Months

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    Coursera

    Evaluate Change Communication for Project Success

    Skills you'll gain: User Feedback, Stakeholder Communications, Surveys, Stakeholder Management, Performance Metric, Data Presentation, Change Management, Business Transformation, Communication, Organizational Change, Data-Driven Decision-Making, Agile Project Management, Communication Strategies, Key Performance Indicators (KPIs), Data Analysis, Case Studies

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Cybersecurity, Algorithms, Arithmetic, Visualization (Computer Graphics)

    4.5
    Rating, 4.5 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    Northeastern University

    NLP in Engineering: Concepts & Real-World Applications

    Skills you'll gain: Natural Language Processing, Embeddings, Model Evaluation, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning, Machine Learning Algorithms, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Image Classification with Keras: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)

    Mixed · Course · 1 - 4 Weeks

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    Edureka

    Gemini and Vertex AI: Building Intelligent Applications

    Skills you'll gain: Prompt Engineering, Gemini, Model Deployment, Generative AI, Google Gemini, Generative AI Agents, LLM Application, AI Workflows, Tool Calling, Multimodal Prompts, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Google Cloud Platform, Artificial Intelligence, AI Personalization, Performance Tuning, Python Programming, Software Development Tools, Cloud Platforms

    Beginner · Course · 1 - 3 Months

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    Google Cloud

    AI Infrastructure: Storage Options

    Skills you'll gain: Data Infrastructure, Model Deployment, Data Processing, Data Pipelines

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Advanced Tricentis Tosca Automation Strategies

    Skills you'll gain: API Testing, Test Automation, Test Case, Test Execution Engine, Application Programming Interface (API), Regression Testing, System Monitoring, Restful API, Continuous Integration, Scenario Testing, Debugging, Continuous Delivery, Jenkins, CI/CD, Test Data, Azure DevOps, Query Languages, Data Validation

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Introduction to Relational Databases (RDBMS)

    Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management, PostgreSQL, Data Management, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation

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    Rating, 4.6 out of 5 stars
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    Beginner · Course · 1 - 4 Weeks

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    Coursera

    AI SEO Content Creation

    Skills you'll gain: Workflow Management, Writing and Editing, Prompt Engineering Tools, Responsible AI

    Beginner · Course · 1 - 4 Weeks

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    Packt

    AI-900 - Azure AI Fundamentals and Two Practice Tests

    Skills you'll gain: Unsupervised Learning, Responsible AI, Classification Algorithms

    Beginner · Course · 1 - 3 Months

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

  • Entrepreneurship: Scaling & GTM Growth Strategy : Creo Incubator
  • Make Apps with ChatGPT and Generative AI: Packt
  • Evaluate Change Communication for Project Success: Coursera
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • NLP in Engineering: Concepts & Real-World Applications: Northeastern University
  • Image Classification with Keras: Build & Optimize: EDUCBA
  • Gemini and Vertex AI: Building Intelligent Applications: Edureka
  • AI Infrastructure: Storage Options: Google Cloud
  • Advanced Tricentis Tosca Automation Strategies: Coursera
  • Introduction to Relational Databases (RDBMS): IBM

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