- Statistics vs Machine Learning
- Types of Statistics Descriptive, Predictive & Prescriptive
- Population vs Sample
- Descriptive Statistics
- Types of Data & Levels of Measurement
- Categorical Variables: Visualization Techniques
- Numerical Variables: Visualization Techniques
- Cross tables & Scatter plots
- Measures of central tendency (Mean, median, mode )
- Measures of Asymmetry (Skewness)
- Measures of Variability
- Measures of Relations Between Variables
- INFERENTIAL STATISTICS: Methods that rely on probability theory and inferential in particular to predict population values based on sample data.
- Distributions
- The Normal Distribution
- The Standard Normal Distribution
- The Central Limit Theorem
- Estimators and Estimates
- Confidence Intervals and the Margin of Error
- Student’s T Distribution
- Formulas for Confidence Intervals
- HYPOTHESIS TESTING
- Scientific method
- Hypotheses
- Examples of hypotheses
- Decisions you can take
- Level of significance and types of tests
- Statistical errors (Type I Error and Type II Error)
- P-value
- Formulae for Hypothesis Testing