| 1 |
Introduction to Business Analytics |
|
Intro. to Python |
| 2 |
Probability and Statistics Review |
KJ Chapters 1–2 |
Intro. to Python |
| 3 |
Data Pre-processing |
KJ Chapter 3 |
Data Pre-processing |
| 4 |
Descriptive Analytics and Visualization |
KJ Chapter 4 |
Data Visualization (MS Power BI) |
| 5 |
Sampling and Estimation |
KJ Chapter 5 |
|
| 6 |
Statistical Inference |
KJ Chapter 6 |
Statistical Inference |
| 7 |
Linear Regression |
KJ Chapter 7 |
Linear Regression |
| 8 |
Logistic Regression |
KJ Chapter 8 |
Logistic Regression |
| 9 |
Classification and Regression Tree Models |
KJ Chapter 11 |
Decision Trees and Random Forest |
| 10 |
Artificial Neural Network |
KJ Chapter 12 |
Artificial Neural Network |
| 11 |
Support Vector Machine |
KJ Chapter 13 |
Support Vector Machine |
| 12 |
K-Nearest Neighbor |
KJ Chapter 14 |
K-Nearest Neighbor |
| 13 |
K-Means Clustering |
|
K-Means Clustering |