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Updated in [June 30th, 2023]

This course, Data Analytics in Health: From Basics to Business, provides an overview of how data analytics can be applied to improve health and health care. Participants will learn the basics of data mining and how to assess when data sciences based improvements in health care represent entrepreneurial opportunities. The course will cover medical approaches to data, data analytics, and entrepreneurship. Participants with prior experience in the medical field will learn how novel data science applications can improve healthcare, create societal value and how to spot entrepreneurial opportunities. Participants with experience in data science or mathematics will learn about medical approaches to data and why healthcare is an exciting area to apply and develop data analytics. Participants interested in launching their startup will learn how big data solutions in health care can provide a solid basis to build great ventures. Throughout the course, participants will be guided step by step to develop a rigorous business plan.

[Applications]
Upon completion of this course, participants will be able to apply data analytics to health care in order to improve diagnosis, care, and curing. They will also be able to assess when data sciences based improvements in health care represent entrepreneurial opportunities and develop a business plan to make that assessment. Furthermore, they will be able to engage in data driven innovation and make an impact on improving care, outcomes, and the quality of life.

[Career Path]
A recommended career path for learners of this course is a Data Analytics in Health position. This job involves using data analytics to analyze large datasets in order to improve healthcare outcomes and quality of life. The job requires a strong understanding of data science and mathematics, as well as an understanding of medical approaches to data. The job also requires the ability to assess when data sciences based improvements in health care represent entrepreneurial opportunities and develop a business plan.

The development trend of this job position is that it is becoming increasingly important as healthcare organizations are relying more and more on data analytics to improve outcomes and quality of life. As the demand for data analytics in healthcare increases, the need for professionals with the skills and knowledge to analyze and interpret large datasets will also increase. Additionally, the development of new technologies such as artificial intelligence and machine learning will create more opportunities for data analytics in healthcare.

[Education Path]
The recommended educational path for learners interested in data analytics in health is to pursue a degree in Health Informatics. Health Informatics is a field of study that combines computer science, information science, and health care to improve the quality, safety, and efficiency of health care delivery. It focuses on the use of technology to manage and analyze health data, as well as to develop new methods of delivering health care services. This degree program typically includes courses in health care systems, data management, health information systems, health informatics, and health policy. It also includes courses in computer science, mathematics, and statistics.

The development trend of Health Informatics is towards the use of artificial intelligence and machine learning to improve the accuracy and efficiency of health care delivery. This includes the use of predictive analytics to identify potential health risks, as well as the use of natural language processing to better understand patient needs and preferences. Additionally, the use of blockchain technology is becoming increasingly popular in the health care industry, as it provides a secure and transparent way to store and share patient data.