Data Analytics in Health – From Basics to Business

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Anja Richert 12 Data Science Edx

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Product is rated as #47 in category Data Science

Many people talk about the promise of “big data” to health care. But how can the application of data analytics to big data actually improve health and health care? We will show that novel data analytics based solutions can result in better diagnosis, better care and better curing. This provides fertile ground for entrepreneurship and the development of new businesses. In our course we’ll start from the very basics of data analytics, look at different real world approaches and help you to see entrepreneurial opportunities and develop a business plan. We will cover three important fields: Health care expertise: We will present medical approaches to data and give an overview of challenges where big data based solutions have been developed to improve the efficiency and effectiveness in medicine. Data analytics: We’ll explain the basics of data mining within the context of a wide variety of health care settings, and the types of data and data analysis challenges that you will likely encounter in each. We’ll start with gathering the data, move on to classifying, analyzing and finally visualizing it. Entrepreneurship: You will learn how to assess when data sciences based improvements in health care represent entrepreneurial opportunities. The development of a rigorous …

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Anja RichertManaging Director, Center for Learning and Knowledge Management at RWTH Aachen University

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Anja Richert took up the position of managing director of the Center for Learning and Knowledge Management of the RWTH Aachen University in February 2011. With a doctorate in Communication Science, she has been working at the IMA/ZLW & IfU Institute Cluster since 2003, from 2008 to 2010 as manager of the Business and Research Division: Knowledge Management. In 2004 Anja Richert completed her degree in Communication Science with a distinction at the RWTH Aachen University. In December 2007, she gained her doctorate in the field of e-learning, likewise with a distinction. In the years 2010 and 2011 she received the International E-Learning Award (IELA) for the projects ROLE and RELOAD with the e-learning solutions developed under her leadership. Furthermore, she is a lecturer at the Mechanical Engineering Faculty of the RWTH Aachen University for a course on learning and work habits (compulsory elective subject for the degree course in Mechanical Engineering). Her main areas of research are the development of agile turbulence-tolerant processes and organisational concepts for knowledge and technology-intensive organisations, the development of knowledge management solutions and e-learning tools (e.g. knowledge maps) for various fields, as well as accompanying research for complex organisational development processes in heterogeneous research networks.