Fireside chat with Quinn Lathrop: Leading Data Science at DataCamp


Data science and machine learning have fundamentally changed how we make decisions, build products, and automate workflows and processes. In this fireside chat, Quinn Lathrop, Head of Data Science and Psychometrics at DataCamp, walks us through the use cases of data science in education and how data science is powering education technology, best practices when balancing product goals with research goals, the data team’s role in creating a data culture, and an overview of the data science powering DataCamp. 

Key Takeaways:

  • An overview of the use cases of data science in education and education technology

  • Best practices when leading data science teams, and balancing short-term product development and long-term research goals

  • An overview of data science at DataCamp, and best practices in democratizing data science

Additional resources:

Adel Nehme

Data Science Evangelist at DataCamp

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

Connect with Adel on LinkedIn and Twitter.

Quinn Lathrop

Head of Data Science and Psychometrics at DataCamp

Quinn Lathrop is Head of Data Science and Psychometrics at DataCamp, where he focuses on democratizing data across the company as well as developing product features leveraging data science. Quinn’s career has combined machine learning, psychometrics, and educational technology to lead data science teams to build efficacious digital learning products. Quinn holds a PhD in Quantitative Psychology from the University of Notre Dame.

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