Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia to discuss his biomedical data science research, the importance of open-source and open-access within the industry and the data science skills you need to succeed today. In this episode you will learn:• Why Philip founded a School of Data Science [6:08]• How computing and data science have evolved across academic departments [15:55]• The improvements needed in higher education [26:44]• The most important data science skills for academia and industry and the 4+1 model [36:49]• Philip’s biomedical data science research and its fascinating practical applications [43:24]• The essential roles of open-source code and open-access publishing in data science [1:01:27] Additional materials: <a href="https://www.superdatascience.com/593">www.superdatascience.com/593</a>

Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia to discuss his biomedical data science research, the importance of open-source and open-access within the industry and the data science skills you need to succeed today. In this episode you will learn: • Why Philip founded a School of Data Science [6:08] • How computing and data science have evolved across academic departments [15:55] • The improvements needed in higher education [26:44] • The most important data science skills for academia and industry and the 4+1 model [36:49] • Philip’s biomedical data science research and its fascinating practical applications [43:24] • The essential roles of open-source code and open-access publishing in data science [1:01:27] Additional materials: www.superdatascience.com/593

Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia to discuss his biomedical data science research, the importance of open-source and open-access within the industry and the data science skills you need to succeed today. In this episode you will learn:• Why Philip founded a School of Data Science [6:08]• How computing and data science have evolved across academic departments [15:55]• The improvements needed in higher education [26:44]• The most important data science skills for academia and industry and the 4+1 model [36:49]• Philip’s biomedical data science research and its fascinating practical applications [43:24]• The essential roles of open-source code and open-access publishing in data science [1:01:27] Additional materials: <a href="https://www.superdatascience.com/593" rel="noopener noreferrer">www.superdatascience.com/593</a>

593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration

593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration

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