Course Materials

AGBU 505: Advanced Quantitative Marketing Using R (Armenian National Agrarian University)

  1. Lecture 1 - Linear Regression presentetion, lab session, data
  2. Lecture 2 - Regression tree, Boosting, Random Forest presentetion, lab session
  3. Lecture 3 - Classification presentetion, lab session, data
  4. Lecture 4 - Choice Models, Conjoint Analysis presentetion, lab session, data
  5. Lecture 5 - Principal Component Analysis, Perceptual Mapping presentetion, lab session, data
  6. Lecture 6 - Cluster Analysis presentetion, lab session, data
  7. Lecture 7 - Association Rules, Market Basket Analysis presentetion, lab session

Math Camp (Department of Agricultural Economics, Texas A&M University)

  1. Lecture 0 - Mathematical Logic
  2. Lecture 1 - Mathematical Proofs
  3. Lecture 2 - Sets
  4. Lecture 3 - Properties of Real Numbers
  5. Lecture 4 - Sequences
  6. Lecture 5 - Topology of Sets
  7. Lecture 6 - Continuity
  8. Lecture 7 - Derivative

Workshops

Introduction to Python (Department of Agricultural Economics, Texas A&M University)