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.

Обзор
Healthcare Data Analytics

Фильтр

Результатов для запроса ''healthcare data analytics': 256

University of California, Davis
Health Information Literacy for Data Analytics
Получаемые навыки: Data Management, Clinical Data Management, Data Model, Extract, Transform, Load, Leadership and Management, Big Data, Business Analysis, Data Warehousing, Database Design, Databases, Finance, Risk Management, SQL, Marketing
4.5
(рецензий: 185)
Intermediate · Specialization · 3-6 Months
Johns Hopkins University
Health Informatics
Получаемые навыки: 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
(рецензий: 700)
Beginner · Specialization · 3-6 Months
University of Colorado System
Clinical Data Science
Получаемые навыки: 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
(рецензий: 411)
Intermediate · Specialization · 3-6 Months
Stanford University
AI in Healthcare
Получаемые навыки: Machine Learning, Applied Machine Learning, Data Management, Finance, Leadership and Management, Clinical Data Management, Data Analysis, Data Mining, Deep Learning, Machine Learning Algorithms, Payments, Regulations and Compliance, Risk Management, Accounting, Marketing
4.7
(рецензий: 989)
Beginner · Specialization · 3-6 Months
Rutgers the State University of New Jersey
Healthcare Organization Operations
Получаемые навыки: Leadership and Management, Entrepreneurship, Strategy and Operations, Business Process Management, Business Analysis, 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
(рецензий: 501)
Beginner · Specialization · 3-6 Months
Johns Hopkins University
The Data Science of Health Informatics
Получаемые навыки: 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
(рецензий: 177)
Beginner · Course · 1-4 Weeks
The University of Sydney
Using clinical health data for better healthcare
Получаемые навыки: Data Analysis, Business Analysis, Clinical Data Management, Data Management, Data Visualization, Leadership and Management, Big Data, Database Administration, Databases, Entrepreneurship, General Statistics, Innovation, Plot (Graphics), Probability & Statistics, Research and Design, Spreadsheet Software, Statistical Analysis, Microsoft Excel
4.7
(рецензий: 95)
Beginner · Course · 1-4 Weeks
Бесплатно
Yale University
Introduction to Medical Software
Получаемые навыки: Software Engineering, Software Testing, Computational Thinking, Computer Programming, General Statistics, Java Programming, Probability & Statistics, Security Engineering, Security Strategy, Software Engineering Tools, Algorithms, Application Development, Bioinformatics, Biostatistics, Business Analysis, Business Psychology, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Networking, Data Analysis, Deep Learning, Design and Product, DevOps, Entrepreneurship, Feature Engineering, Finance, Human Computer Interaction, Human Factors (Security), Leadership and Management, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Network Security, Probability Distribution, Product Design, Product Lifecycle, Regulations and Compliance, Research and Design, Risk Management, Software Architecture, Software Security, Statistical Analysis, Theoretical Computer Science, User Experience, User Experience Design, User Research
4.7
(рецензий: 59)
Intermediate · Course · 3-6 Months
Бесплатно
Northwestern University
Career 911: Your Future Job in Medicine and Healthcare
Получаемые навыки: Communication, Entrepreneurship, Leadership and Management, Research and Design, Business Analysis, Problem Solving, Software Engineering, Application Development, Computer Programming, Creativity, Data Analysis, Design and Product, Human Computer Interaction, Market Research, Professional Development, Software Testing, User Research
4.5
(рецензий: 128)
Mixed · Course · 1-3 Months

10 самых популярных курсов по запросу 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
Making Data Science Work for Clinical Reporting: Genentech
AI in Healthcare: Stanford University
Intro to Improving the Patient Experience Through Analytics: Northeastern University
Healthcare Organization Operations: Rutgers the State University of New Jersey
The Data Science of Health Informatics: Johns Hopkins University
Using clinical health data for better healthcare: The University of Sydney
Healthcare Data Literacy: University of California, Davis

Навыки, которые вы можете получить здесь: Business Essentials

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Часто задаваемые вопросы на тему Аналитика данных в сфере здравоохранения

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.‎

Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.