Data Science for Business Leaders


Karolis Urbonas, global head of data science and analytics at Amazon Alexa, speaks with Hugo Bowne-Anderson, data scientist and educator at DataCamp, about how business leaders need to think about data-driven and AI transformations in their organizations. They’ll discuss what type of value company-wide data fluency can create, what business leaders need to know about data analytics and data science to successfully incorporate these disciplines into their organizations, how to build high-performance data teams, and how to align an organization’s data function with long-term company strategy, among other topics. Wherever you happen to be on your transformation into a data-driven and AI-fluent business, this webinar will provide insight into the state-of-the-art, current trends, and calls to action for your next steps towards data fluency.

Hugo Bowne-Anderson

Head of Data Science Evangelism and Marketing at Coiled; Previously a Data Scientist at DataCamp

Hugo Bowne-Anderson is Head of Data Science Evangelism and VP of Marketing at Coiled, a company that makes it simple for organizations to scale their data science seamlessly. He has extensive experience as a data scientist, educator, evangelist, content marketer, and data strategy consultant at DataCamp, the online education platform for all things data. He has experience teaching basic to advanced data science topics at institutions such as Yale University and Cold Spring Harbor Laboratory, conferences such as SciPy, PyCon, and ODSC and with organizations such as Data Carpentry. He has developed over 30 courses on the DataCamp platform, impacting over 500,000 learners worldwide through his own courses. He also created the weekly data industry podcast DataFramed, which he hosted and produced for 2 years. He is committed to spreading data skills, access to data science tooling, and open-source software, both for individuals and the enterprise.

Connect with Hugo on LinkedIn and Twitter.

Karolis Urbonas

Global Head of Data Science and Analytics at Amazon Alexa

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