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    Results for "medical statistics"

    • University of California, Davis

      SQL for Data Science Capstone Project

      Skills you'll gain: Presentations, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Statistical Analysis, Data Modeling, Performance Metric, Business Analytics, Text Mining, Data Science, Target Audience, Data Manipulation, Proposal Development

      4.2
      Rating, 4.2 out of 5 stars
      ·
      236 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New

      Johns Hopkins University

      Introduction to Ambulatory Healthcare Management

      Skills you'll gain: Medical Terminology, Practice Management, Healthcare Industry Knowledge, Management Training And Development, Clinic Management Systems, Health Care Administration, Health Care, Patient Flow, Primary Care, Health Systems, Urgent Care, Telehealth, Human Resources, Hospital Medicine

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 4 Weeks

    • IBM

      Introduction to R Programming for Data Science

      Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

      4.5
      Rating, 4.5 out of 5 stars
      ·
      565 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      The University of Hong Kong

      Materials in Oral Health

      Skills you'll gain: Medical Imaging, Dentistry, Dental Procedures, Laboratory Testing, X-Ray Computed Tomography, Oral and Dental Care, Radiography, Oral Health, Computer-Aided Design, 3D Modeling, Chemistry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      510 reviews

      Mixed · Course · 1 - 4 Weeks

    • EIT Digital

      Privacy and Standardisation

      Skills you'll gain: Technical Standard, General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Case Law, Medical Privacy, Court Systems, Telecommunications, Legal Writing, Law, Regulation, and Compliance, Legal Research, Data Ethics, European History, International Relations, Interoperability, Data Security, Cybersecurity, Emerging Technologies, World History, Civil Law

      4.4
      Rating, 4.4 out of 5 stars
      ·
      375 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Pontificia Universidad Católica de Chile

      Introducción a la Minería de Datos

      Skills you'll gain: Exploratory Data Analysis, Data Mining, Data Analysis, Machine Learning Algorithms, Data Manipulation, Databases, Data Science, Machine Learning Methods, Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Algorithms, Performance Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • DeepLearning.AI

      AI and Public Health

      Skills you'll gain: Jupyter, Data Analysis, Exploratory Data Analysis, Statistical Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Information Privacy, Deep Learning, Healthcare Ethics, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      222 reviews

      Beginner · Course · 1 - 4 Weeks

    • Imperial College London

      Global Disease Masterclass

      Skills you'll gain: Infectious Diseases, Epidemiology, Public Health and Disease Prevention, Public Health, Health Disparities, Cardiology, Chronic Diseases, Microbiology, Community Health, Health Systems, Health Policy, Socioeconomics, Preventative Care, Health Care, Health Assessment, Biostatistics, Data Analysis, Policy Analysis, Trend Analysis, Medical Science and Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      316 reviews

      Beginner · Specialization · 1 - 3 Months

    • University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • Johns Hopkins University

      Outbreaks and Epidemics

      Skills you'll gain: Epidemiology, Infectious Diseases, Risk Analysis, Public Health, Investigation, Public Health and Disease Prevention, Biostatistics, Laboratory Testing, Statistical Analysis, Probability & Statistics, Research Methodologies, Report Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      751 reviews

      Beginner · Course · 1 - 4 Weeks

    • IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • Imperial College London

      Measuring Disease in Epidemiology

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Public Health, Preventative Care, Biostatistics, Program Evaluation, Health Assessment, General Medical Tests and Procedures, Risk Analysis, Quantitative Research, Health Policy, Statistical Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      769 reviews

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular medical statistics courses

    • SQL for Data Science Capstone Project: University of California, Davis
    • Introduction to Ambulatory Healthcare Management: Johns Hopkins University
    • Introduction to R Programming for Data Science: IBM
    • Materials in Oral Health: The University of Hong Kong
    • Privacy and Standardisation: EIT Digital
    • Introducción a la Minería de Datos: Pontificia Universidad Católica de Chile
    • AI and Public Health: DeepLearning.AI
    • Global Disease Masterclass: Imperial College London
    • Machine Learning: Clustering & Retrieval: University of Washington
    • Outbreaks and Epidemics: Johns Hopkins University

    Frequently Asked Questions about Medical Statistics

    Medical statistics is a field in which the use of statistics is applied to show correlations between medicine, illness, public health, clinical research, and forensic medicine. Also known as biostatistics, medical statistics has applications in clinical medicine, lab research, and national systems of health care. During the COVID-19 pandemic, medical statistics were used on a daily basis to track how well certain areas were doing to control the spread of the virus.

    Medical statistics represents a large growth opportunity to learn more about, with the ever-increasing numbers of graying baby boomers seeking medical treatment in the coming years, along with the growing use of big data around medical records.‎

    Medical statistics are an essential part of medical research, and it is valuable to learn this to gain knowledge that can be used in medical experiments, medical tests, global pandemics, and clinical trials of medicine. When statistics are used in medicine, the results can help provide a general snapshot of the threat or severity of a certain illness.

    Understanding medical statistics can also help medical professionals and pharmaceutical companies figure out which new drugs should be tested and brought to market. With more information about health and medicine through statistics, the better equipped our society will be about illnesses and more.‎

    When you learn medical statistics, you can find work in medicine and the health sciences, including careers in medical labs, hospitals, public health facilities, government institutions, and medical testing facilities. Health care organizations use a great deal of data and statistics today to drive performance outcomes. Knowing medical statistics can help you find career work in medical service provider organizations that use data to grow quality improvement throughout the organization.‎

    When you take online courses on Coursera about medical statistics, you can learn key concepts about research models and statistical analysis along with how to apply and measure statistical hypothesis testing, binary data, variability regression, and confidence intervals. You have the opportunity to discover how to read and understand mathematical formulas that will give you greater confidence to understand medical statistics as well as explore public health policy issues and assess how they impact the medical community at large.‎

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

    When looking to enhance your workforce's skills in Medical Statistics, 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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