Correlation vs Causation: Why Does It Matter?

Two things can move together without one causing the other. So, what does that mean for the business decisions we make using data?

Join PyData Bradford this Month for “Correlation vs Causation: Why does it matter?” with Joshua Amayo.

Many techniques used in data science identify correlations. While useful, these relationships don’t always explain what drives an outcome, or what will happen if a business makes a change.

In this session, Joshua will explore:
• The difference between correlation and causation.
• Where correlation-based analysis falls short when solving business problems.
• Causal techniques and their applications in commercial settings.
• How developing skills in causal analysis can help us answer better questions and make more informed decisions.

Whether you work with data or simply want to understand how it shapes business decisions, come along and join the conversation.