Name: Causal Insights From Observational Data: A Hands-On Python Workshop
Start: 2024-05-14T10:50:00-0700
End: 2024-05-14T12:15:00-0700

WiDS Puget Sound is independently organized by Diversity in Data Science.

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Causal Insights From Observational Data: A Hands-On Python Workshop

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Causal analysis is a powerful tool for understanding the mechanisms and effects of
interventions in complex systems. While A/B experimentation is the gold standard for
extracting causal insights, there are situations where experimenting isn’t possible – such
as when the feature was already released or ethical restrictions prevent us from
experimenting on certain populations. In such cases, we must rely on observational data,
which pose many challenges for causal analysis, such as confounding, selection bias, and
unmeasured variables. In this workshop, we will introduce the basic concepts and
methods of causal discovery and causal inference as we guide the audience through a hands-on step-by-step causal analysis using common Python causal libraries, including
DoWhy and EconML. We will provide a toy dataset for illustration. An internet-connected device is required.

Speakers

Sarah Shy

Microsoft

Sarah is a data scientist at Microsoft where she works on applications of causal inference and builds ML models to power intelligent Windows features. Prior to joining Microsoft, she conducted research in the area of astrostatistics. Sarah is also passionate about mentoring newcomers... Read More →