It's time for November's PyDataMCR talks! **THE TALKS** **How Much Data Do I Need?** - [Dustin Hayden](https://www.linkedin.com/in/dustin-hayden-b2b87813b/) Data-driven organisations conduct A/B tests as part of their routine operations. A frequent stakeholder question is “how long do we need to wait for the A/B test results”? This question can be reframed as “how much data do we need?” Luckily, statistics already has a clean answer: power calculations. While power calculations are often used in Frequentist statistical contexts, they are relatively rare in Bayesian analysis. In this talk I present a Bayesian view of power calculations, the flexibility it gives over Frequentist approaches, and how it has already helped shaped many business decisions concerning experiment results and wait times. **Talk 2** \- TBC Watch this space! **LOCATION** We'll be at Krakenflex, who are also kindly supplying catering. The capacity is limited to 90. After the talks we'll all head somewhere local for some post-event socialising. **EVENT GUIDELINES** PyDataMCR is a strictly professional event, as such professional behaviour is expected. PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct [https://pydata.org/code-of-conduct.html](https://pydata.org/code-of-conduct.html) Please take a moment to familiarise yourself with its contents. **ACCESSIBILITY** Under 16s welcome with a responsible guardian. There is a quiet room available if needed. Toilets are accessible. **SPONSORS** Thank you to NUMFocus for sponsoring Meetup and further support. Thank you to Autotrader, Krakenflex and Horsefly Analytics for their ongoing support and sponsorship of PyDataMCR.

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