Thursday, December 5, 2019

Thursday, December 5, 2019 — 4:00 PM EST

Having impact with data science in industry … Data science as an integrated set of skills in data analytics, data engineering and data entrepreneurship

Industry is going through rapid and profound changes, and the possibilities created by data science are one of the phenomena driving them. But data science is more than analytics and machine learning, and students need a T-shaped package of skills to have a successful career.

This talk sketches the role of data science in a rapidly changing industry. We discuss applications of data science in different innovation horizons, from improvement of current processes and product lines, to new business models and disruptive innovation driven by data. Having impact with data science in large, complex organizations is a challenge. It requires a blend of skills in analytics and machine learning, knowledge of computer science and IT infrastructures, and expertise in entrepreneurial project management. The talk presents a framework for organizing data science in CRISP-DM projects, and the various roles of data analysts, data engineers, domain experts, and executives. I also present the teaching philosophy of the Jheronimus Academy of Data Science in The Netherlands, where we design teaching programs around the three pillars of data analytics, engineering and entrepreneurship, and where programs are delivered in close collaboration with six application domains. Finally, I share some personal observations on the role of statistical thinking in the computer-science dominated world of data science.

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