1. Concepts and techniques

• Analysis of variance (ANOVA)
• Bias-variance tradeoff
• Bootstrap
• Causation, causality
• Central limit theorem, CLT
• Derivative
• Maximum likelihood
• Mode
• Ordinary least squares, OLS
• Principal components analysis, PCA
• Simulation

To cover next: Concepts

• indentification

• inference

• overfitting

• spurious regression

To cover next: Theorems

• Bayes theorem

• Gauss-Markov theorem

To cover next: Research design

• replication, replicability

• complexity bias

Peer publication

You may want to consult Library of Statistical Techniques (LOST) to see some of the concepts in action, mainly with R code.