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“ - [Barton] There's more to data science than categorizing spam emails. In fact, data science is an enormously powerful set of tools in the life and death matters of health and medicine. I'm Barton Poulson, and in this brief course, we'll take a non-technical, conceptually-oriented look at how data science can be effectively used in the fields of healthcare, medicine, and public health. We'll explore the ways that the principles and practices of data science can be used to help healthcare professionals predict risks for illnesses and epidemics, take pro-active and preventive measures, better understand the nature of illness, and develop exciting new ways to treat diseases. Data science can even help make healthcare more accessible, more affordable, and give people a greater voice in their own well-being. We'll mention some of the important procedures that are used in data science, but more importantly, we'll explore how those ideas are used in healthcare. Because this is a non-technical course, anyone with an interest in healthcare, regardless of their technical background, can get important ideas and insights from this course. And so let's get started with The Data Science of Healthcare, Medicine, and Public Health.
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“ - [Barton] Music, theater, dance, and film may not be the first things that pop to mind when you hear data science, but they can benefit just as much from the special insight of data science as, say, e-commerce or finance. I'm Barton Poulson, and in this brief course, we'll take a non-technical, conceptually-oriented look at how data science can be effectively used in the field of media and entertainment. We'll explore the ways that the principles and practices of data science can be used to help creative organizations better understand their market, efficiently set pricing, evaluate the effectiveness of their work, create meaningful interactions with their audience, shape artistic programming, protect intellectual property, and help arts organizations motivate and reward their employees. We'll mention some of the important procedures that are used in data science, but more importantly we'll explore how those ideas are used in media and entertainment to reach broader audiences and provide richer experiences. Because this is a non-technical overview, anyone with an interest in the business of media and entertainment, regardless of their technical background, can get important ideas and insights from this course. And so let's get started with The Data Science of Media and Entertainment.
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Educational records and standardized tests offer a treasure trove of data about who our students are and what they actually need from the education system. Data science can help educators glean valuable insights from this deluge of information. In this brief course, data scientist and professor Barton Poulson provides a… Read moreRead more about this titleITProTV If you’re just getting started with Cisco, you may want to think about getting certified. A Cisco Certified Technician (CCT)… Frank P Moley III If you’re a back-end engineer or full-stack developer, it’s time to get up to speed with GraphQL, the extremely popular… Kishan Iyer If you’re already using BigQuery for your data warehouse, you may be ready to take your next step. 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This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site. Career Relevance by Data RoleThe techniques and tools covered in The Data Science of Educational Management and Policy, with Barton Poulson are most similar to the requirements found in Data Scientist job advertisements. Similarity Scores (Out of 100) I love art. I believe that practicing art makes for a better data science practice. But mostly I love it because it’s art: it’s beautiful, rewarding, expressive, and fun. I have deep connections to art: I studied design for most of my undergraduate career; I’ve been involved with modern dance for years; I love poetry; I’m a regular patron of the opera; I play the saxophone – of which Gioachino Rossini exclaimed “This is the most beautiful sound I have ever heard!” – and I have a long-term plan for computer-assisted composition and live looping in the indie classical genre. But it was only a few years ago, when I was on a sabbatical to learn more about data visualization, that I (re)discovered the connection between my data work and my aesthetic interests. I learned about “creative coding” and how to use visualization tools – Processing, in particular – to create art. I also learned how to use Max/MSP/Jitter to create music and, at the same time, capture, analyze, and transform video. These developments led to a surprising turn for a data person: showings in two galleries, a commission for a modern dance performance – in partnership with choreographer Jacque Bell (and my wife) – and two years at Utah Valley University working with a Presidential Fellowship to devise methods for live video looping in modern dance. And, through it all, I have maintained an abiding interest in using the lessons learned to enrich my data practice and teaching. Class CentralClass Central is learner-supported. 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