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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

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft IT Support Specialist

      Skills you'll gain: Microsoft 365, Network Security, Business Software, Computer Hardware, Cybersecurity, Desktop Support, Virtual Private Networks (VPN), Network Troubleshooting, Technical Support, Hardware Troubleshooting, Hardware Architecture, Generative AI, Operating Systems, Collaborative Software, Network Protocols, TCP/IP, Application Security, Microsoft Teams, Information Systems Security, Multi-Factor Authentication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Decisions, Decisions: Dashboards and Reports

      Skills you'll gain: Dashboard, Business Intelligence, Data Presentation, Data Visualization Software, Business Reporting, Scalability, Project Design, Stakeholder Communications, Key Performance Indicators (KPIs), Data Analysis, Performance Improvement, Presentations, Interviewing Skills

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Finding, Sorting, & Filtering Data in Microsoft Excel

      Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Analysis Expressions (DAX), Business Intelligence, Data Entry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      429 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of California San Diego

      Hadoop Platform and Application Framework

      Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, Data Processing, Distributed Computing, Performance Tuning, Scalability

      4
      Rating, 4 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Business English for Non-Native Speakers

      Skills you'll gain: Business Writing, Sales Presentation, Business Correspondence, Interviewing Skills, Business Communication, Business Ethics, Data Visualization, English Language, Oral Expression, Presentations, Target Audience, Report Writing, Writing, Business Analysis, Analysis, Communication, Communication Strategies, Verbal Communication Skills, Intercultural Competence, Writing and Editing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel, Part 1

      Skills you'll gain: Data Import/Export, Microsoft Excel, Data Visualization, Data Management, Excel Macros, Excel Formulas, Data Validation, Microsoft Word, Microsoft PowerPoint

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

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Molecular Biology, Python Programming, Computational Thinking, Biology, Algorithms, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Embedding Sensors and Motors

      Skills you'll gain: Control Systems, Process Control, Machine Controls, Embedded Systems, Programmable Logic Controllers, Embedded Software, Electronic Systems, Automation Engineering, Laboratory Experience, Hardware Design, Electrical Engineering, Three-Phase, Power Electronics, Electronic Hardware, Manufacturing Processes, Electrical Equipment, Electronics Engineering, Electronics, Manufacturing and Production, Electrical Systems

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Google SEO Fundamentals

      Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Keyword Research, Content Strategy, Digital Marketing, Marketing Strategies, Content Performance Analysis, Content Creation, Artificial Intelligence, User Experience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      Machine Learning for All

      Skills you'll gain: Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • N

      NVIDIA

      AI Infrastructure and Operations Fundamentals

      Skills you'll gain: Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Cloud Infrastructure, IT Infrastructure, Deep Learning, Network Infrastructure, Tensorflow, Hardware Architecture, Machine Learning, PyTorch (Machine Learning Library), Data Centers, Computer Architecture, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      357 reviews

      Beginner · Course · 1 - 4 Weeks

    Healthcare Data Analytics learners also search

    Healthcare
    Healthcare Management
    Healthcare Technology
    Healthcare System
    Healthcare Administration
    Healthcare Marketplace
    Health Informatics
    Health Management
    1…505152…664

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

    • Microsoft IT Support Specialist: Microsoft
    • Decisions, Decisions: Dashboards and Reports: Google
    • Finding, Sorting, & Filtering Data in Microsoft Excel: Coursera Project Network
    • Hadoop Platform and Application Framework: University of California San Diego
    • Business English for Non-Native Speakers: The Hong Kong University of Science and Technology
    • Everyday Excel, Part 1: University of Colorado Boulder
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • Embedding Sensors and Motors: University of Colorado Boulder
    • Google SEO Fundamentals: University of California, Davis
    • Machine Learning for All: University of London

    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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