Fundamentals Of Statistics For Data Scientists and Analysts | by Tatev Karen Aslanyan | LunarTech | Medium

- Random variables
- Probability distribution functions (PDFs)
- Mean, Variance, Standard Deviation
- Covariance and Correlation 
- Bayes Theorem
- Linear Regression and Ordinary Least Squares (OLS)
- Gauss-Markov Theorem
- Parameter properties (Bias, Consistency, Efficiency)
- Confidence intervals
- Hypothesis testing
- Statistical significance 
- Type I & Type II Errors
- Statistical tests (Student's t-test, F-test)
- p-value and its limitations
- Inferential Statistics 
- Central Limit Theorem & Law of Large Numbers
- Dimensionality reduction techniques (PCA, FA)