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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

    • D

      Duke University

      Excel to MySQL: Analytic Techniques for Business

      Skills you'll gain: Data Storytelling, Database Design, Dashboard, MySQL, Relational Databases, SQL, Tableau Software, Business Analytics, Business Metrics, Data Visualization Software, Analytics, Data Visualization, Business Process Improvement, Business Intelligence, Financial Modeling, Microsoft Excel, Business Process, Probability Distribution, Business Risk Management, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Business Metrics for Data-Driven Companies

      Skills you'll gain: Business Analytics, Business Metrics, Analytics, Business Process Improvement, Business Intelligence, Tableau Software, Data Analysis, Big Data, Key Performance Indicators (KPIs), Spreadsheet Software, Web Analytics, Data-Driven Decision-Making, Business Strategy, Digital Transformation, E-Commerce, Financial Services, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Analyze Website Visitors with Google Analytics Segments

      Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Customer Insights, Analysis, Target Audience

      4.5
      Rating, 4.5 out of 5 stars
      ·
      122 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      Meta

      Meta Back-End Developer

      Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), Back-End Web Development, GitHub, Web Design and Development, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Database Design, Unit Testing, Algorithms, Web Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google Cloud

      Introduction to Generative AI Learning Path

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Data Ethics, Google Cloud Platform, Business Ethics, Application Development, Artificial Intelligence, Accountability, Regulatory Compliance, Compliance Training, Ethical Standards And Conduct, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Governance, Organizational Effectiveness, Machine Learning, Machine Learning Methods, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.9K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      M

      Meta

      Meta Web Development Fundamentals

      Skills you'll gain: Django (Web Framework), Responsive Web Design, HTML and CSS, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), SQL, Database Design, Databases, Front-End Web Development, Unit Testing, MySQL, Debugging, User Interface (UI), Web Development, Web Servers, Test Driven Development (TDD), Web Applications, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Beginner · Specialization · 3 - 6 Months

    • F

      Fractal Analytics

      Python for Data Science

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Data Wrangling, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Descriptive Statistics, Data Transformation, Applied Machine Learning, Data Cleansing, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Structuring Machine Learning Projects

      Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Debugging, Artificial Intelligence, Keras (Neural Network Library), Data Quality, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Excel Skills for Business: Essentials

      Skills you'll gain: Microsoft Excel, Data Visualization, Spreadsheet Software, Excel Formulas, Data Management, Data Entry, Productivity Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The State University of New York

      Big Data, Genes, and Medicine

      Skills you'll gain: Data Visualization, Bioinformatics, Big Data, Analytics, Health Informatics, Medical Science and Research, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Unsupervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      284 reviews

      Advanced · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Applied Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Forecasting, Data Processing, Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    Healthcare Data Analytics learners also search

    Healthcare
    Healthcare Management
    Healthcare Technology
    Healthcare System
    Healthcare Administration
    Healthcare Marketplace
    Health Informatics
    Health Management
    1…232425…651

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

    • Excel to MySQL: Analytic Techniques for Business: Duke University
    • Business Metrics for Data-Driven Companies: Duke University
    • Analyze Website Visitors with Google Analytics Segments: Coursera Project Network
    • Meta Back-End Developer: Meta
    • Introduction to Generative AI Learning Path: Google Cloud
    • Meta Web Development Fundamentals: Meta
    • Python for Data Science: Fractal Analytics
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Structuring Machine Learning Projects: DeepLearning.AI
    • Excel Skills for Business: Essentials: Macquarie 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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