3 replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
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(this is the opposite of "introduction to statistics for mathematiciansintroduction to statistics for mathematicians")

I'm a programmer who loves writing logic and even a libsvm vector embedding library to my name. Now I'm getting asked questions about:

  • "exogenous factors"
  • "sample randomness"
  • distributions, confidence intervals, etc.

There are plenty of self-taught programmers, so how should I self-teach statistics?

(this is the opposite of "introduction to statistics for mathematicians")

I'm a programmer who loves writing logic and even a libsvm vector embedding library to my name. Now I'm getting asked questions about:

  • "exogenous factors"
  • "sample randomness"
  • distributions, confidence intervals, etc.

There are plenty of self-taught programmers, so how should I self-teach statistics?

(this is the opposite of "introduction to statistics for mathematicians")

I'm a programmer who loves writing logic and even a libsvm vector embedding library to my name. Now I'm getting asked questions about:

  • "exogenous factors"
  • "sample randomness"
  • distributions, confidence intervals, etc.

There are plenty of self-taught programmers, so how should I self-teach statistics?

2 details
source | link

(this is the opposite of "introduction to statistics for mathematicians")

I'm a programmer who loves writing logic and even a libsvm vector embedding library to my name, but I struggled to get through Calculus 2 in college. Now I'm getting asked questions about:

  • "exogenous factors"
  • "sample randomness"
  • distributions, confidence intervals, etc.

There are plenty of self-taught programmers, so how should I self-teach statistics?

(this is the opposite of "introduction to statistics for mathematicians")

I'm a programmer who loves writing logic and even a libsvm vector embedding library to my name, but I struggled to get through Calculus 2 in college. Now I'm getting asked questions about:

  • "exogenous factors"
  • "sample randomness"
  • distributions, confidence intervals, etc.

There are plenty of self-taught programmers, so how should I self-teach statistics?

(this is the opposite of "introduction to statistics for mathematicians")

I'm a programmer who loves writing logic and even a libsvm vector embedding library to my name. Now I'm getting asked questions about:

  • "exogenous factors"
  • "sample randomness"
  • distributions, confidence intervals, etc.

There are plenty of self-taught programmers, so how should I self-teach statistics?

    Post Made Community Wiki by whuber
1
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How should a math-paranoid programmer learn stats?

(this is the opposite of "introduction to statistics for mathematicians")

I'm a programmer who loves writing logic and even a libsvm vector embedding library to my name, but I struggled to get through Calculus 2 in college. Now I'm getting asked questions about:

  • "exogenous factors"
  • "sample randomness"
  • distributions, confidence intervals, etc.

There are plenty of self-taught programmers, so how should I self-teach statistics?