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 :
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Z-test
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T-Test
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2 sample ttest , pair ttest , matched sample ttest
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sample proportion z-test
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chi-square test of independence and goodness of fit
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anova test
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KS test -Anderson Darling Test
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Kruskal Wallis test
QQ plots Pearson and Spareman Rank Correlation Coefficient
Bias of an estimator Kurtosis and Skewness