If you are a PA professional and you don’t know about it yet, then I highly recommend to your attention a free online book, Bayesian Thinking for People Analytics, by Andrew Marritt.
IMO, there are three key things that distinguish it from other similar books:
- It’s not just a technical guide to statistics/analytics, or its specific Bayesian flavour, to be more precise, but firmly embeds it within the broader decision-making framework and PA context.
- It gently and comprehensibly introduces you to the mindset and tools of Bayesians, which can make your PA life easier in many respects, and does so in a way that lets you immediately start using them in your practice.
- It gives plenty of attention to the judgement calls we face in practice: which assumptions we make, when a simpler analysis is good enough, and how to explain the results to stakeholders.
On top of that, there is a lot of practical wisdom and also fun throughout the book.
So, highly recommended - I can only wish I’d had something like that available when I was entering the field.
Thanks to Andrew for putting something like this together and sharing it with the PA community 🙏
Related notes
- Use of Bayesian networks in people analytics?
- Beyond prediction: Exploiting organizational events for causal inference in people analytics
- Evidence-Based Management: Boring basics and better questions
- The impact of the COVID pandemic on the popularity of people analytics
- Causal Inference with Bayesian Networks
📄 Read the original post with full outputs on my blog.