Data & Analytics Consultants

UG business background with no math past calculus 1, but taught myself python and have been doing analytics work at client for a year now. Will the feeling of being a fraud due to no math ever pass?

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Guessing some of this imposter syndrome is just that and some may stem from not having strong fundamentals (this is a question most data scientists could answer without thinking). Core math for data scientists are calculus, stats, and linear/matrix algebra. Ask the math associate or someone else for the must-know topics in these fields and learn them. Should give you enough of a foundation to avoid rabbit holes and more efficiently find what you’re looking for on the web. That also might help alleviate the imposter syndrome.

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Thank you that’s helpful. These situations are contrasted to when I do things like using random forest for feature importance and can explain information gain and how that’s working since I took a full online course on tree and forest algorithms, but as soon as a fundamental question comes that someone should’ve learned in class I’m a sitting duck if I haven’t already taught it to myself.

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Recommend the course specialization on Coursera - “Mathematics for Machine Learning” by Imperial College.

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I feel like I am very careful to make sure I’m doing things I can understand, but find myself having to google almost every question to check basic assumptions. For example, client asked me if we could average the P values of variables in a regression and I had to spend a bit googling to make sure I could explain why not, but my math major associate immediately pointed out the major flaws from a math perspective

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Out of curiosity, what type of analytics work do you do?

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Anything from answering questions like “will changing the color of our product influence returns (which take time to process)” and “how can we take individual customer preference data and identify how that indicates demand at a national level”. Main tools are Alteryx, python, excel. All of my teammates are much more experienced than me but I’m hanging in there since I want to learn

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You should really up your math skills.

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BTW averaging out p-values makes little sense to me. Don’t even know if that is even a right question to ask.

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Just to confirm my understanding, the p-value is a level of significance at which you can reject the null right? The issue is that if you average it, you’re assuming a somewhat-linear relationship, so averaging it literally makes no sense.

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