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    • Healthcare Data Analytics

    Healthcare Data Analytics Courses Online

    Master healthcare data analytics for improving patient care. Learn to analyze healthcare data, implement data-driven decisions, and use health informatics tools.

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    Explore the Healthcare Data Analytics Course Catalog

    • U

      University of Virginia

      Agile Development

      Skills you'll gain: Usability Testing, Agile Product Development, Continuous Delivery, Agile Software Development, User Story, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, DevOps, Customer Analysis, Analytics, Sprint Retrospectives, Product Management, Customer Insights

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Cybersecurity Analyst

      Skills you'll gain: Threat Modeling, MITRE ATT&CK Framework, Penetration Testing, Azure Active Directory, Network Security, Computer Systems, Security Information and Event Management (SIEM), Security Testing, Encryption, Cybersecurity, System Testing, Cloud Security, Threat Management, Vulnerability Scanning, Cloud Computing, Business Software, Cyber Attacks, Authentications, Active Directory, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of California San Diego

      Algorithmic Toolbox

      Skills you'll gain: Algorithms, Program Development, Debugging, Development Testing, Test Engineering, Software Testing, Computational Thinking, Test Case, Computer Programming, Programming Principles, Data Structures, Theoretical Computer Science, Bioinformatics, Design Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Accelerated Computer Science Fundamentals

      Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Engineering Software, Computer Programming, Software Engineering, Algorithms, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 1 - 3 Months

    • J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Machine Learning in Production

      Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Excel Skills for Business: Intermediate I

      Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization, Consolidation, Business Reporting, Data Management, Data Cleansing, Automation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      17K reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting, Matlab

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      AI For Medical Treatment

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Treatment Planning, Data Analysis, Precision Medicine, Applied Machine Learning, Patient Treatment, Machine Learning Methods, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Medical Science and Research, Text Mining, Health Informatics, Large Language Modeling, Medical Terminology, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      523 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      779 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      PwC

      Problem Solving with Excel

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Analysis Expressions (DAX), Data Validation, Complex Problem Solving, Statistical Analysis, Financial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Introduction to Systematic Review and Meta-Analysis

      Skills you'll gain: Clinical Trials, Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Biostatistics, Analysis, Quantitative Research, Risk Analysis, Statistical Methods, Epidemiology, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Mixed · Course · 1 - 3 Months

    Healthcare Data Analytics learners also search

    Healthcare
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    Healthcare Technology
    Healthcare System
    Healthcare Administration
    Healthcare Marketplace
    Health Informatics
    Health Management
    1…383940…650

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

    • Agile Development: University of Virginia
    • Microsoft Cybersecurity Analyst: Microsoft
    • Algorithmic Toolbox: University of California San Diego
    • Accelerated Computer Science Fundamentals: University of Illinois Urbana-Champaign
    • Introduction to Genomic Technologies: Johns Hopkins University
    • Machine Learning in Production: DeepLearning.AI
    • Excel Skills for Business: Intermediate I: Macquarie University
    • Neuroscience and Neuroimaging: Johns Hopkins University
    • AI For Medical Treatment: DeepLearning.AI
    • AI Product Management: Duke University

    Skills you can learn in Business Essentials

    Analytics (37)
    Presentation (33)
    Modeling (29)
    Business Analytics (27)
    Language (26)
    Microsoft Excel (26)
    Writing (26)
    Speech (18)
    Plan (17)
    Business Communication (16)
    Decision-making (16)
    Leadership (15)

    Frequently Asked Questions about Healthcare Data Analytics

    Healthcare data analytics courses cover a variety of topics essential for analyzing and interpreting data within the healthcare sector. These include the basics of data collection and management, healthcare data standards, and data privacy regulations. Learners will explore topics such as statistical analysis, predictive modeling, and data visualization specific to healthcare. Advanced courses might cover areas like machine learning applications in healthcare, electronic health records (EHR) analysis, and healthcare quality metrics. Practical exercises and projects help learners apply these concepts to real-world healthcare data, enhancing their ability to derive actionable insights and improve patient outcomes.‎

    Choosing the right healthcare data analytics course depends on your current skill level and career aspirations. Beginners should look for courses that cover the basics of data analytics, healthcare data standards, and introductory statistical methods. Those with some experience might benefit from intermediate courses focusing on advanced data analysis techniques, predictive modeling, and healthcare-specific data visualization. Advanced learners or professionals seeking specialized knowledge might consider courses on machine learning in healthcare, advanced predictive analytics, or preparing for certifications like Certified Health Data Analyst (CHDA). Reviewing course content, instructor expertise, and learner feedback can help ensure the course aligns with your goals.‎

    A certificate in healthcare data analytics can open up various career opportunities in the healthcare and technology sectors. Common roles include healthcare data analyst, health informatics specialist, clinical data manager, and healthcare consultant. These positions involve analyzing healthcare data to improve patient care, managing electronic health records, developing predictive models for patient outcomes, and advising healthcare organizations on data-driven strategies. With the increasing importance of data analytics in healthcare decision-making, earning a certificate in healthcare data analytics can significantly enhance your career prospects and opportunities for advancement in fields such as hospitals, healthcare IT companies, public health organizations, and research institutions.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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