Synergistic data science and causal inference

The educational, health, social, and behavioral sciences are inundated with causal research questions. The emergence of big data and associated processing capabilities led to complacency that big data analytics can come to the rescue. In this talk, we will investigate the synergistic roles of data science and causal inference play in helping us uncover relationships between data and its ability to answer causal research or business questions.

Additional Supporting Materials

Learning Objectives

  1. Understand how to answer causal business questions with data and analytics.
  2. Learn what questions to ask when working with data scientists in causal impact analysis and predictive modeling.
  3. Investigate change management and cultural change needed to take calculated actions to improve business outcomes.

Speakers

Organizer

David Kil, Chief Data Scientist, Civitas Learning


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