○ Basics stats
Probability
Introduction to basic terms
Variables
Random variables
Population, sample, population mean, sample mean
Population distribution, sample distribution, sampling distribution
Mean, median, mode
Range
Measure of dispersion
Variance
Standard deviations
Gaussian/normal distribution
○ Intermediate stats
Standard normal distribution
Z score
Probability density function
Cumulative distribution function
Hypothesis testing
Many different plotting graphs
Kernel density estimation
Central limit theorem
Skewness of data
Covariance
Pearson correlation coefficient
Spearman rank correlation
Hypothesis testing
○ Advance stats
Q-Q plot
Chebyshev's inequality
Discrete and continuous distribution
Bernoulli's and binomial distribution
Log normal distribution
Power law distribution
Box cox transform
Poisson distribution
Application of non-gaussian distribution