Fitting Statistical Models to Data with Python

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Below are the top discussions from Reddit that mention this online Coursera course from University of Michigan.

Offered by University of Michigan. In this course, we will expand our exploration of statistical inference techniques by focusing on the ... Enroll for free.

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Taught by
Brenda Gunderson
Lecturer IV and Research Fellow
and 2 more instructors

Offered by
University of Michigan

Reddit Posts and Comments

0 posts • 1 mentions • top 1 shown below

r/dataanalysis • comment
2 points • robschab

Well, I'm no expert. But from what I've seen, the most common needs have been linear/mulitvariate/logistic regression. I don't think anyone expects you to be a data scientist, but the line between analyst and data scientist is fuzzy. In general, I try to be able to do a little of everything, and talk to specialists as needed. So I can build a somewhat basic model in R to predict something, or say if one variable is correlated to another, but I run anything more complex by a data scientist.

One HW assignment I received gave me a large dataset, had me clean and dig into it a bit, prep some data for analysis, and build a model in R. Based on my predictions, what action would I recommend? What variables were significant? It was an interesting problem.

Maybe doing a course like this or this will help. Or if there are people with the skills you're looking for internally, approach them about doing a mentorship project. We have a process where you make a pitch to someone for a 3 month mentorship. Has to have clear goals, and a definitive end date. We've seen good success with that program.