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    Results for "healthcare analytics"

    • C

      Coursera Project Network

      Creating Social Media Posts with GenAI: Mastering ChatGPT

      Skills you'll gain: Content Performance Analysis, Generative AI Agents, ChatGPT, Social Media Content, Prompt Engineering, Target Audience, Social Media Campaigns, Content Creation, User Research, Social Media Management, Social Media Strategy, Market Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      J

      Johns Hopkins University

      Let's talk about it: A Health and Immigration Teach Out

      Skills you'll gain: Health Disparities, Health Equity, Community Health, Social Justice, Health Care Administration, Preventative Care, Health Care, Advocacy, Health Policy, Cultural Responsiveness, Community Outreach, Public Health and Disease Prevention, Oncology, Immigration Law, Patient Education And Counseling, Diversity Equity and Inclusion Initiatives, Discussion Facilitation, Healthcare Ethics, Maternal Health

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Exploratory vs Confirmatory data analysis using Python

      Skills you'll gain: Exploratory Data Analysis, Tree Maps, Geographic Information Systems, Plotly, Data Analysis, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Pandas (Python Package)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      The Challenges of Modern Caregiving

      Skills you'll gain: Caregiving, Care Management, Supply And Demand, Healthcare Industry Knowledge, Healthcare Ethics, Community and Social Work, Stress Management, Sociology

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Search Engines for Web and Enterprise Data

      Skills you'll gain: Web Analytics and SEO, AI Personalization, Semantic Web, Algorithms, Query Languages, Network Analysis, Text Mining, Information Architecture, Performance Testing, Natural Language Processing, User Research, Data Structures, Business Modeling, Graph Theory, Applied Machine Learning

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 3 - 6 Months

    • C

      Coursera Project Network

      Machine Learning for Kyphosis Disease Classification

      Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Transformation, Data Processing, Predictive Analytics, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Defining, Describing, and Visualizing Data

      Skills you'll gain: Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Probability Distribution, Statistical Software, Statistics, Statistical Visualization, Data Visualization, Statistical Analysis, Box Plots, Probability, R Programming, Probability & Statistics, Data Manipulation, Histogram, Taxonomy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Launching into Machine Learning em Português Brasileiro

      Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Supervised Learning, Google Cloud Platform, Data Processing, Data Analysis, Predictive Modeling, Big Data, Statistical Analysis, Sampling (Statistics), Regression Analysis, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      How to Analyze Tweet Engagement with Twitter Analytics

      Skills you'll gain: Social Media Marketing, Social Media, Key Performance Indicators (KPIs), Social Media Content, Brand Awareness, Marketing Analytics, Social Media Campaigns, Digital Advertising, Customer Engagement, Advertising, Performance Analysis, Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Colorado System

      Predictive Modeling and Transforming Clinical Practice

      Skills you'll gain: Predictive Modeling, Clinical Data Management, Intensive Care Unit, Risk Modeling, Statistical Modeling, Decision Support Systems, Applied Machine Learning, Health Informatics, Data-Driven Decision-Making, Qualitative Research, Data Analysis

      Intermediate · Course · 1 - 3 Months

    • S

      SAS

      Four Rare Machine Learning Skills All Data Scientists Need

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Statistical Analysis, Technical Communication

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Market Research Analysts

      Skills you'll gain: Competitive Analysis, Market Research, Market Analysis, Customer Analysis, Generative AI, Marketing Analytics, Market Trend, Persona Development, Trend Analysis, ChatGPT, Analytics, OpenAI, Data Analysis, Forecasting, Ethical Standards And Conduct

      4.3
      Rating, 4.3 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to healthcare analytics

    healthcare analytics essentials
    healthcare data analytics
    analytics in healthcare management and administration
    designing engaging dashboards for healthcare analytics
    1…174175176…253

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

    • Creating Social Media Posts with GenAI: Mastering ChatGPT: Coursera Project Network
    • Let's talk about it: A Health and Immigration Teach Out: Johns Hopkins University
    • Exploratory vs Confirmatory data analysis using Python: Coursera Project Network
    • The Challenges of Modern Caregiving: University of Colorado Boulder
    • Search Engines for Web and Enterprise Data: The Hong Kong University of Science and Technology
    • Machine Learning for Kyphosis Disease Classification: Coursera Project Network
    • Defining, Describing, and Visualizing Data: University of Colorado Boulder
    • Launching into Machine Learning em Português Brasileiro: Google Cloud
    • How to Analyze Tweet Engagement with Twitter Analytics: Coursera Project Network
    • Predictive Modeling and Transforming Clinical Practice: University of Colorado System

    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 Analytics

    Healthcare Analytics is the branch of analysis that focuses on offering insights into hospital management, patient records, costs, diagnoses, and more. The field utilizes business intelligence tools, such as data visualization, to provide real-time information that can support decisions and deliver actionable insights.

    Healthcare Analytics are important for hospital and healthcare managers who rely on a combination of financial and administrative data to aid patient care efforts, better services, and to improve existing procedures.‎

    The U.S. Bureau of Labor Statistics estimates that jobs related to gathering, interpretation, storage, sharing, and utilization of electronic health records and other medical data will grow by more than 15 percent through 2024. That opens opportunities not only for work as a Healthcare Data Analyst, but also as a Data Architect, Implementation Specialist, Care Coordinator, Executive, Chief Experience Officer, Chief Population Health Officer, and other roles that rely heavily on healthcare data.‎

    Healthcare Analytics Courses offered through Coursera provide learners with knowledge on the challenges of healthcare data; methods for selecting and preparing data for analysis; range of healthcare data sources; best practices of obtaining useful information from digital health systems; and more.

    Lessons on Healthcare Analytics are taught by Instructors from major universities with experience in Healthcare Data Science, eHealth, and more, and are administered via hands-on projects, video lectures, readings, quizzes, and more.‎

    Any job, internship, or class you've taken at the high school or college level that involved data and analytics can be helpful if you want to learn health care analytics. Studies or jobs in health information can also be beneficial. Other helpful classes include various levels of math, data science, computer science, and biostatistics. Experience that involves data mining, data warehousing, big data, information management, clinical workflow, health information technology, project management, computer programming, software development, or quality assessment can also help prepare you for learning health care analytics. While it's not necessary, if you've worked, volunteered, or interned in a health care setting—such as a hospital, clinic, doctor's office, or government agency that regulates health care—you may better understand health care analytics studies. Former medical coders, health care auditors, and medical record clerks tend to do well when learning about the subject.‎

    Roles in health care analytics require someone who pays close attention to detail and someone who enjoys solving complicated problems. You must work well under pressure, think well on your feet, and have a passion for and interest in the health care field. You'll also need an excellent grasp of basic math skills. The ability to multitask is a must, even when things get a little hectic in your office. This field also requires you to be a team player with good verbal and written communication skills.‎

    If you want a career in the health care field but don't want to work directly with patients, learning health care analytics may be right for you. Specializing in this subject can open up the door for many careers in fields like health care information technology, information systems management, database administration, and data science. If you enjoy working with data and numbers and you are good with computers and technology, you may enjoy learning health care analytics. This can help prepare you for a job at places like hospitals or large physicians' offices, or you may work for a private company or government agency.‎

    Online Healthcare Analytics courses offer a convenient and flexible way to enhance your knowledge or learn new Healthcare Analytics skills. Choose from a wide range of Healthcare Analytics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Healthcare Analytics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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