about statistical techniques for Data Science

Basic Probability Principles : Conditional Probability Bayes Theorem

Random Variable Expectation of Random Variable

Distributions: PMF PDF CDF

Sampling Statistics Boot Strapping

different Distributions Transformations

Central Limit Theorem Confidence Interval

Hypothesis testing :

• Z-test

• T-Test

• 2 sample ttest , pair ttest , matched sample ttest

• sample proportion z-test

• chi-square test of independence and goodness of fit

• anova test

• KS test -Anderson Darling Test

• Kruskal Wallis test

QQ plots Pearson and Spareman Rank Correlation Coefficient

Bias of an estimator Kurtosis and Skewness