3 replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/

(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

(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

# 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?