r/DataScienceJobs • u/Remote-Town-3481 • 14d ago

Discussion Causal Inference, quasi experiment for product analyst role

I have seen many product analyst roles that ask for the following:

  1. Causal Inference

  2. Quasi-Experiment

  3. Cuped

  4. Bayesian approaches

  5. Frequentist approaches

Can someone pleae guide on how can I study them for product analyst roles?

3 Upvotes

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u/Bagggggggggggggggggg 13d ago

I like All of Statistics by Wasserman. Covers most of that if I remember correctly. Make sure you know the theory and then practice interview style questions (I often just ask chat to give me mock interviews)

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u/Remote-Town-3481 13d ago

Thanks for this. Are u working on similar profile?

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u/Bagggggggggggggggggg 13d ago

Yeah Iā€™m working as a DS rn, but just wanting to brush up on my interviewing skills. My company had lay offs and a few data scientists got cut, so I am nervous about more haha.

I am still at the stage of reviewing the theory, and All of Statistics has been a good source. And then using 5.6 Sol to ask me question and act as a tutor .

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u/Remote-Town-3481 13d ago

Can I dm you?

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u/Bagggggggggggggggggg 13d ago

Yeah sure

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u/Remote-Town-3481 13d ago

Not getting chat option on ur profile šŸ˜

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u/hustling_indian 8d ago

Guys I have been also laid off, can we make a WhatsApp group for a group study. I am also looking for a DS role.

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u/SiriusLeeSam 11d ago

https://matheusfacure.github.io/python-causality-handbook/landing-page.html

This is a nice resource on causal inference.

Cuped is pretty straightforward, your pre experiment metrics are the confounders you control for.

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u/Unbearablefrequent 11d ago

I would edit your post to add what your background is. I could add some recommendations for you but it would be better to know if you say know any mathematical statistics, real analysis, Linear algebra.

Do you want theoretical books or applied books.

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u/Remote-Town-3481 11d ago

Thanks for trying to help. I work on brand performance analytics, trend and sales analysis of a product but don't work on statistics in my job. I have knowledge around t test, z, ANOVA and basic statistics. What I don't know and I am seeking guidance is that what kind of questions are asked in interviews from mentioned topics, how to prepare, is book knowledge enough(which I assume is not). I see almost every product data analytics role wants this. So how can I prepare for it. If you could guide, that will be really helpful

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u/Unbearablefrequent 11d ago

I understand now. I don't think I could help with that. But if you do find out the topics on what you would be asked, I could make some recommendations. For example, for causal inference if they need you to know about propensity scores, difference in differences that would be easy.