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Singularity University

In this session, Dr. Sabine Seymour discusses how you can use data to monitor your lifestyle (from food to exercise) to boost your body’s resilience against diseases.

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In this session, Dr. Sabine Seymour discusses how you can use data to monitor your lifestyle (from food to exercise) to boost your body’s resilience against diseases.

How can you use data to monitor your lifestyle (from food to exercise) to boost your body’s resilience against diseases? Dr. Sabine Seymour is an entrepreneur, researcher, and athlete. As a technologist, Sabine conceives products at the intersection of sensors, data, and the body. As an economist, she develops wealth distribution and asset ownership models for citizens who generate biometric and environmental data using distributed technologies. Her recent venture SUPA® is democratizing data by tokenizing the body™. Her think tank MOONDIAL is the nexus between silicon and style™ for clients like Intel, Siemens, GE, and Disney. Dr. Seymour was the inaugural professor and director of the Fashionable Technology Lab at Parsons School of Design in New York, led the research project BODYMETAPHOR with co-researcher Miriam Steele at the New School of Social Research, conceived Computational Cellulose at Aalto University, and was the Chair of the Rockefeller Foundation funded Computational Fashion Research Initiative at Eyebeam Art + Technology Center. She authored three books: Fashionable Technology, Functional Aesthetics, Computational Fashion, and currently works on Social Data Capitalism.

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Syllabus

How Can You Use Data to Monitor Your Lifestyle (From Food to Exercise) to Boost Your Body’s Resilience Against Diseases?

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores how data can be used to monitor lifestyle, which is standard in personalized healthcare
Taught by Dr. Sabine Seymour, who is recognized for their work in wearable tech and data analysis
Develops skills in data collection and analysis, which are core skills for population health managers

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in How Can You Use Data to Monitor Your Lifestyle (From Food to Exercise) to Boost Your Body’s Resilience Against Diseases? with these activities:
Review Data Science Concepts
Help you refresh your memory and make the most of the course.
Browse courses on Data Science
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  • Revisit the basics of data collection, data processing, and data analysis.
  • Review common data science techniques and algorithms.
  • Practice working with data using a programming language or statistical software.
Read 'Data Science for Business'
Provide you with a solid understanding of the concepts and applications of data science in a business context.
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  • Read the chapters on data collection, data analysis, and data visualization.
  • Work through the exercises and examples in the book.
Join a Study Group
Provide you with regular opportunities to discuss the course material, ask questions, and share insights with others.
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  • Find a study group or create your own with classmates.
  • Meet regularly to discuss the course material, complete assignments, and prepare for exams.
Six other activities
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Follow Online Tutorials
Provide you with step-by-step guidance on specific topics and skills related to the course.
Browse courses on Data Science
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  • Identify specific areas where you need additional support.
  • Find reputable online tutorials that cover those topics.
  • Work through the tutorials at your own pace, taking notes and practicing the concepts.
Create a Data Visualization Dashboard
Provide you with practical experience in visualizing data and communicating insights.
Browse courses on Data Visualization
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  • Choose a dataset and identify the key insights you want to communicate.
  • Select appropriate visualization techniques and create a dashboard using a data visualization tool.
  • Share your dashboard with others and gather feedback.
Solve Data Science Problems
Provide you with hands-on experience in solving real-world data science problems.
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  • Find a collection of data science problems online or in textbooks.
  • Work through the problems, implementing your solutions in a programming language.
  • Compare your solutions to those provided by others and identify areas for improvement.
Build a Machine Learning Model
Allow you to apply the concepts you learn in the course to a real-world problem.
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  • Define the problem you want to solve and gather the necessary data.
  • Choose an appropriate machine learning algorithm and train the model.
  • Evaluate the performance of the model and make adjustments as needed.
  • Deploy the model and monitor its performance over time.
Mentor a Junior Data Scientist
Allow you to share your knowledge and skills with others, while also reinforcing your own understanding of the course material.
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  • Identify a junior data scientist who would benefit from your guidance.
  • Meet with your mentee regularly to provide support, answer questions, and offer advice.
Contribute to an Open-Source Data Science Project
Provide you with hands-on experience in working on real-world data science projects and contributing to the open-source community.
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  • Find an open-source data science project that aligns with your interests and skills.
  • Read the project documentation and identify ways to contribute.
  • Submit a pull request with your proposed changes or contributions.

Career center

Learners who complete How Can You Use Data to Monitor Your Lifestyle (From Food to Exercise) to Boost Your Body’s Resilience Against Diseases? will develop knowledge and skills that may be useful to these careers:
Epidemiologist
Epidemiologists study the distribution and patterns of health events and diseases in populations. They use data to investigate the causes of disease and to develop strategies for prevention and control. This course can help Epidemiologists by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to develop targeted interventions to improve population health.
Health Policy Analyst
Health policy analysts develop and evaluate policies and programs that aim to improve the health of populations. They use data to analyze the impact of health policies and to make recommendations for changes. This course can help Health Policy Analysts by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to develop evidence-based policies and programs to improve population health.
Public Health Nutritionist
Public health nutritionists work to improve the health of populations by promoting healthy eating and nutrition. They use data to assess the nutritional needs of populations and to develop and implement nutrition interventions. This course can help Public Health Nutritionists by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to develop targeted interventions to improve the nutritional status of populations.
Registered Dietitian
Registered dietitians provide nutrition counseling and education to individuals and groups. They use data to assess nutritional needs and to develop personalized nutrition plans. This course can help Registered Dietitians by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to develop evidence-based nutrition recommendations for clients.
Personal Trainer
Personal trainers help individuals achieve their fitness goals by providing guidance on exercise and nutrition. They use data to track progress and to make adjustments to training plans. This course can help Personal Trainers by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to develop personalized training plans that are tailored to the individual needs of clients.
Health Coach
Health coaches work with individuals to help them make healthy lifestyle changes. They use data to track progress and to provide support and motivation. This course can help Health Coaches by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to develop personalized coaching plans that are tailored to the individual needs of clients.
Wellness Consultant
Wellness consultants work with businesses and organizations to promote health and well-being in the workplace. They use data to assess the health needs of employees and to develop and implement wellness programs. This course can help Wellness Consultants by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to develop evidence-based wellness programs that are tailored to the specific needs of organizations.
Data Scientist
Data scientists use data to solve business problems. They use a variety of techniques to collect, analyze, and interpret data. This course can help Data Scientists by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to develop data-driven solutions to improve population health.
Statistician
Statisticians use data to make inferences about populations. They use a variety of techniques to collect, analyze, and interpret data. This course can help Statisticians by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to make evidence-based decisions about public health policy.
Biostatistician
Biostatisticians use data to solve problems in the field of biology. They use a variety of techniques to collect, analyze, and interpret data. This course can help Biostatisticians by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to develop new treatments and interventions for diseases.
Research Scientist
Research scientists conduct research to advance knowledge in a particular field. They use a variety of techniques to collect, analyze, and interpret data. This course can help Research Scientists by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to develop new insights into the causes and prevention of diseases.
Clinical Research Coordinator
Clinical research coordinators manage clinical trials and studies. They use data to track patient progress and to ensure that studies are conducted in accordance with ethical guidelines. This course can help Clinical Research Coordinators by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to improve the design and conduct of clinical trials.
Medical Writer
Medical writers write scientific and medical documents, such as journal articles, grant proposals, and patient education materials. They use data to support their writing and to ensure that their information is accurate and up-to-date. This course can help Medical Writers by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to write clear and concise documents that are based on the latest scientific evidence.
Healthcare Administrator
Healthcare administrators manage the day-to-day operations of healthcare organizations. They use data to make decisions about staffing, budgeting, and patient care. This course can help Healthcare Administrators by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to make data-driven decisions that improve the quality and efficiency of healthcare delivery.
Healthcare Consultant
Healthcare consultants provide advice to healthcare organizations on a variety of topics, such as operations, finance, and marketing. They use data to support their recommendations and to ensure that their advice is based on the latest evidence. This course can help Healthcare Consultants by providing them with the skills to collect, analyze, and interpret data on lifestyle factors that can affect health. This information can be used to develop evidence-based recommendations that improve the performance of healthcare organizations.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in How Can You Use Data to Monitor Your Lifestyle (From Food to Exercise) to Boost Your Body’s Resilience Against Diseases?.
Presents a collection of data visualizations that illustrate different aspects of the modern world. It would be a good resource for anyone interested in learning more about data visualization or for anyone who wants to see how data can be used to tell stories.
Explores the science of habit formation and how we can use this knowledge to change our behavior. It would be a good read for anyone who wants to learn more about how to use data to improve their lifestyle.
Argues that the traditional notion of "average" is no longer relevant in today's world. It would be a good read for anyone who wants to learn more about how to use data to understand their own strengths and weaknesses.
Explores the challenges that large organizations face in innovating. It would be a good read for anyone who wants to learn more about how to use data to make better decisions about innovation.
Explores how organizations can use data to gain a competitive advantage. It would be a good read for anyone who wants to learn more about how to use data to make better business decisions.
Provides an overview of data science and how it can be used to solve business problems. It would be a good read for anyone who wants to learn more about how to use data to make better decisions.
Explores the implications of big data for our society. It would be a good read for anyone who wants to learn more about the future of data and how it will affect our lives.
Provides a detailed overview of deep learning. It would be a good reference for anyone who wants to learn more about the field.
Provides a detailed overview of reinforcement learning. It would be a good reference for anyone who wants to learn more about the field.

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