5 core statistics concepts that show up in data science interviews:

1. T-tests. Know their assumptions. Know how the t distribution relates to the
normal distribution.

2. Central Limit Theorem. Know what it means for the distribution of the mean.
Understand the magic!

3. Regression assumptions. Know why independence of observations matters and
what IID means.

4. Confidence intervals and relationship to hypothesis tests. Discuss
relationship to credible intervals.

5. The implications of Bayesian priors vs frequentist perspective. What does it
mean for practical decision making?

Others? Join in! Curious to hear your experiences.

#data #datascience #statistics

Posted by Eric Weber on LinkedIn
link: linkedin.com/in/eric-weber-060397b7