Don’t Wait: What 300 L&D Leaders Have Learned About Building Data Fluency
Date: Thursday, November 7, 2019
Time: 2:00 PM ET
Data science and AI are impacting many industries globally, from healthcare and government to agriculture and finance. Everybody needs to be able to work with data the way everybody needed to start using email 20 years ago. As we wrote in Harvard Business Review, “Very few companies expect only professional writers to know how to write. So why ask only professional data scientists to understand and analyze data, at least at a basic level?”
But what value can data fluency actually add, what are best practices to build it into your organization, and what are the biggest challenges that businesses encounter in data-driven transformations?
To answer these questions and more, we conducted a survey of over 300 Learning and Development leaders from diverse industries including healthcare, technology, consumer goods, government, and finance. Join this webinar with Dr. Hugo Bowne-Anderson, a data scientist and educator at DataCamp, to find out what we discovered and what 300 L&D leaders have learned about building data fluency.
- What value can data fluency actually add?
- What are the best practices to build data fluency in your organization?
- What are the biggest challenges that businesses encounter in data-driven transformations?
Dr. Hugo Bowne-Anderson is a data scientist and educator at DataCamp and host of the DataCamp podcast DataFramed. He has worked in applied math research in cell biology at Yale University and the Max Planck Institute for Cell Biology and Genetics, after receiving his Ph.D. in Pure Mathematics at the University of New South Wales. He joined DataCamp three years ago to build out their foundational data science curriculum in Python and his main interests now are promoting data and AI fluency, helping to spread data skills through organizations.