Data science tips with barton poulson

Instructor: Barton Poulson

Data analytics plays an increasingly pivotal role in how we go about managing our healthcare systems and our own personal health. Designed for anyone with a stake in our healthcare system, this nontechnical course explores a variety of ways to apply data science to medicine and public health. Data scientist and professor Barton Poulson discusses the ways that dramatically increased quantities of data—from genetic testing, genealogy, blood testing, brain scans, and other sources—are changing the theory and practice of healthcare. As he looks over key data sources, he also explores the different methods for analyzing this wealth of data, including machine learning and predictive modeling. Discover how data science can help predict outbreaks, find cures, help with healthcare costs, and more.

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• Data Science Courses

Get a nontechnical overview of how data science can benefit the entertainment industries. Discover tools to set prices, find audiences, and create more engaging experiences.

Introduction1. Applying Data Science

• Audience analytics
• Pricing algorithms
• Optimizing resource allocation
• Evaluation and accountability
• Managing digital and live interactions
• Performing arts programming
• Using data science to protect intellectual property
• Optimizing nonfinancial incentives

Conclusion

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Class Central

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

• Healthcare Informatics Courses
• Information Technology Courses

Learn how the dramatically increased quantities of data—and the methods for analyzing this data—are changing the theory and practice of healthcare.

Introduction1. Applying Data Science

• Applying data science to healthcare, medicine, and public health
• Data science and genetics
• Data science and cancer
• Data science and mental health
• Data science and epidemiology
• Data science for needs and outcomes assessments in healthcare
• Predictive modeling in healthcare
• Data ethics in healthcare, medicine, and public health
• Careers for data scientists in healthcare, medicine, and public health

Conclusion

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