What is healthcare data analytics?

Healthcare data analytics is analyzing industry data to predict health trends and improve the quality of patient care. It helps test and analyze different hypotheses to incorporate results in finding solutions to various healthcare problems. Healthcare data analytics plays an important role in decision making and in practice and helps explain medical errors or special patient needs.

What are typical careers that use healthcare data analytics?

Careers in which you will use healthcare data analytics include clinical scientists, researchers, and data scientists. Using skills learned to interpret and analyze data, you will turn information into insights, put healthcare data into practice, and come up with possible solutions to problems found. Healthcare data analytics is also used by data scientists to communicate results to other analysts so they can understand the meaning of your data and study the results.

How can online courses help me learn healthcare data analytics?

Taking online courses will provide you with increased knowledge to understand the statistics and data of healthcare. You will learn through lectures, readings, and by taking assessments to measure your understanding of the different topics. Online courses will help you develop skills to grow professionally in your career with the flexibility of working at your own pace to fully grasp every concept. You will have practice examples that give you an idea of real scenarios in which you will come up with analytical solutions with your data to solve healthcare problems.

Why is it important to learn about healthcare data analytics?

It's important to learn about healthcare data analytics to improve skills and be able to have a boost in your data or healthcare career. You will be able to compare data models and analyze different sources, which will improve patient care and patient diagnosis. By learning about this, you will know the importance of high-quality data and the role it plays. Learning about healthcare data analytics is necessary to be able to apply effective methods of communication in the real world and help healthcare professionals in their decision making and patient care.

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253 resultados para "healthcare data analytics"

Johns Hopkins University
Health Informatics
Habilidades que obtendrás: Leadership and Management, Operating Systems, Strategy and Operations, Theoretical Computer Science, Systems Design, Change Management, Clinical Data Management, Data Analysis, Databases, Entrepreneurship, Computer Programming, Decision Making, Project Management, Big Data, Computer Programming Tools, Data Management, Data Warehousing, Database Application, Design and Product, Feature Engineering, Human Resources, Leadership Development, Machine Learning, Planning, Programming Principles, Security Engineering, Software Security, Statistical Machine Learning, Statistical Programming, Supply Chain and Logistics, System Security, Vendor Management, Communication, Data Science, Database Theory, Health
4.4
(699 reseñas)
Beginner · Specialization · 3-6 Months
University of Colorado System
Clinical Data Science
Habilidades que obtendrás: Data Management, Data Analysis, Statistical Programming, Clinical Data Management, Data Model, Natural Language Processing, R Programming, Computational Logic, Databases, Extract, Transform, Load, Finance, Leadership and Management, Theoretical Computer Science, Accounting, Algorithms, Basic Descriptive Statistics, Billing & Invoicing, Computer Programming, Google Cloud Platform, Mathematical Theory & Analysis, Mathematics, Programming Principles, Regulations and Compliance, SQL, Communication, Machine Learning Software, Marketing
4.5
(409 reseñas)
Intermediate · Specialization · 3-6 Months
University of Minnesota
Healthcare Marketplace
Habilidades que obtendrás: Entrepreneurship, Market Research, Research and Design, Clinical Data Management, Data Analysis, Data Management, Design and Product, Product Management, Strategy and Operations, Business Analysis, Insurance Sales, Leadership and Management, Sales, Basic Descriptive Statistics, Billing & Invoicing, Customer Analysis, Facility Management, Finance, Financial Management, Forecasting, Probability & Statistics, Process Analysis, Regulations and Compliance, Statistical Tests, Supply Chain and Logistics, Critical Thinking, General Statistics, Market Analysis, Marketing, Payments, Risk Management
4.5
(1.3k reseñas)
Beginner · Specialization · 3-6 Months
Rutgers the State University of New Jersey
Healthcare Organization Operations
Habilidades que obtendrás: Leadership and Management, Entrepreneurship, Strategy and Operations, Business Analysis, Business Process Management, Data Management, Clinical Data Management, Communication, Data Analysis, Human Resources, Advertising, Basic Descriptive Statistics, Benefits, Business Communication, Business Psychology, Databases, Finance, Innovation, Marketing, Operations Management, Organizational Development, People Analysis, Probability & Statistics, Process Analysis, Regulations and Compliance, Research and Design, SQL, Spreadsheet Software, Statistical Analysis, Statistical Programming, Supply Chain Systems, Supply Chain and Logistics
4.6
(498 reseñas)
Beginner · Specialization · 3-6 Months
Johns Hopkins University
The Data Science of Health Informatics
Habilidades que obtendrás: Clinical Data Management, Data Analysis, Databases, Big Data, Computer Programming, Data Warehousing, Database Application, Leadership and Management, Programming Principles, Statistical Programming, Data Science, Database Theory, Entrepreneurship, Planning, Supply Chain and Logistics
4.6
(177 reseñas)
Beginner · Course · 1-4 Weeks
The University of Sydney
Using clinical health data for better healthcare
Habilidades que obtendrás: Data Analysis, Business Analysis, Clinical Data Management, Data Management, Data Visualization, Leadership and Management, Big Data, Database Administration, Databases, Entrepreneurship, General Statistics, Innovation, Probability & Statistics, Research and Design, Spreadsheet Software, Statistical Analysis, Microsoft Excel
4.7
(95 reseñas)
Beginner · Course · 1-4 Weeks

En síntesis, estos son los 10 cursos más populares healthcare data analytics

Health Information Literacy for Data Analytics: University of California, Davis
Health Informatics: Johns Hopkins University
Clinical Data Science: University of Colorado System
AI in Healthcare: Stanford University
Intro to Improving the Patient Experience Through Analytics: Northeastern University
Healthcare Marketplace: University of Minnesota
Healthcare Organization Operations: Rutgers the State University of New Jersey
Healthcare Data Models: University of California, Davis
Healthcare Data Literacy: University of California, Davis
The Data Science of Health Informatics: Johns Hopkins University

Habilidades que puedes aprender en Business Essentials

Análisis (37)

Presentación (33)

Modelado (29)

Análisis Comercial (27)

Comunicación Empresarial (16)

Toma De Decisiones (16)

Liderazgo (15)

Preguntas frecuentes sobre Análisis de datos de atención médica

Careers in which you will use healthcare data analytics include clinical scientists, researchers, and data scientists. Using skills learned to interpret and analyze data, you will turn information into insights, put healthcare data into practice, and come up with possible solutions to problems found. Healthcare data analytics is also used by data scientists to communicate results to other analysts so they can understand the meaning of your data and study the results.‎
Taking online courses will provide you with increased knowledge to understand the statistics and data of healthcare. You will learn through lectures, readings, and by taking assessments to measure your understanding of the different topics. Online courses will help you develop skills to grow professionally in your career with the flexibility of working at your own pace to fully grasp every concept. You will have practice examples that give you an idea of real scenarios in which you will come up with analytical solutions with your data to solve healthcare problems.‎
It's important to learn about healthcare data analytics to improve skills and be able to have a boost in your data or healthcare career. You will be able to compare data models and analyze different sources, which will improve patient care and patient diagnosis. By learning about this, you will know the importance of high-quality data and the role it plays. Learning about healthcare data analytics is necessary to be able to apply effective methods of communication in the real world and help healthcare professionals in their decision making and patient care.‎

Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.