### Lesson 1: Visualizing relationships in data

Seeing relationships in data and predicting based on them; Simpson's paradox

### Lesson 2: Probability

Probability; Bayes Rule; Correlation vs. Causation

### Lesson 3: Estimation

Maximum Likelihood Estimation; Mean, Median, Mode; Standard Deviation, Variance

### Lesson 4: Outliers and Normal Distribution

Outliers, Quartiles; Binomial Distribution; Central Limit Theorem; Manipulating Normal Distribution

### Lesson 5: Inference

Confidence intervals; Hypothesis Testing

### Lesson 6: Regression

Linear regression; correlation

### Lesson 7: Final Exam