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.

閲覧
Healthcare Data Analytics

フィルター

「healthcare data analytics」の161件の結果

Johns Hopkins University
Health Informatics
習得できるスキル： Big Data, Change Management, Clinical Data Management, Communication, Computer Programming, Computer Programming Tools, Data Management, Databases, Decision Making, Design and Product, Entrepreneurship, Feature Engineering, Human Resources, Leadership Development, Leadership and Management, Logic, Machine Learning, Operating Systems, Programming Principles, Project Management, SQL, Security Engineering, Software Security, Statistical Machine Learning, Statistical Programming, Strategy and Operations, System Security, Systems Design, Theoretical Computer Science, Vendor Management
4.4
（643件のレビュー）
Beginner · Specialization · 3-6 Months
University of Pennsylvania
The Business of Health Care
習得できるスキル： Accounting, Accounts Payable and Receivable, Analysis, Behavioral Economics, Business Analysis, Business Psychology, Change Management, Data Analysis, Decision Making, Entrepreneurship, Finance, Financial Accounting, Financial Analysis, Flow Network, General Accounting, Human Resources, Innovation, Leadership and Management, Operations Management, Organizational Development, People Management, Performance Management, Regulations and Compliance, Research and Design, Strategy and Operations
4.6
（1.5k件のレビュー）
Beginner · Specialization · 3-6 Months
University of California, Davis
Health Information Literacy for Data Analytics
習得できるスキル： Big Data, Business Analysis, Clinical Data Management, Data Management, Data Model, Data Warehousing, Database Administration, Database Design, Databases, Extract, Transform, Load, Finance, Leadership and Management, Marketing, Modeling, Risk Management
4.5
（158件のレビュー）
Intermediate · Specialization · 3-6 Months

要約して、healthcare data analytics の人気コース10選をご紹介します。

Health Informatics: Johns Hopkins University
The Data Science of Health Informatics: Johns Hopkins University
AI in Healthcare: Stanford University
The Business of Health Care: University of Pennsylvania
Healthcare Data Models: University of California, Davis
Analytical Solutions to Common Healthcare Problems: University of California, Davis
Introduction to Clinical Data: Stanford University
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective): Columbia University
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective): Columbia University
Healthcare Consumerism and Implication for Care Delivery: Northeastern University

Business Essentialsで学べるスキル

ヘルスケアデータ分析に関するよくある質問

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.‎