Statistics Practicum 1
									Statistics Practicum 2
									Econometrics Practicum 1
									Econometrics Practicum 2
							Statistics Practicum 1
					
| Introduction to Python or Colaboratory Applications | 
|---|
| Data Concepts and Data Operations (script & run) | 
| Frequency Tables and Visuals (Qualitative Data) | 
| Frequency Tables and Visuals (Quantitative Data) | 
| Central Tendency (Mean-Median-Mode) | 
| Quartiles, Deciles, Percentiles | 
| Box-and-Whiskers Plot | 
| Practical Test (Python/Colaboratory) | 
| Measures of Dispersion | 
| Discrete Probability | 
| Continuous Probability | 
| Kurtosis & Skewness | 
| Index Numbers | 
| Paasche, Laspeyres, Drobisch, Fisher Indices | 
| Gini Index or Lorenz Curve | 
| Practical Test (Python/Colaboratory) | 
Statistics Practicum 2
					
| Introduction to Python or Colaboratory Applications | 
|---|
| Sampling & Sampling Distribution | 
| Confidence Interval | 
| Hypothesis Testing (Mean & Proportion Tests) | 
| Mean & Proportion Difference Tests | 
| Variance Difference Test (Chi-Square) | 
| Analysis of Variance (One-way, Two-way) | 
| Practical Exam (Python/Colaboratory) | 
| Correlation (Pearson & Spearman) | 
| Simple Regression (Intercept & Slope) | 
| Significance of Intercept, Slope & Prediction Interval | 
| Coefficient of Determination & Residual Analysis | 
| Multiple Regression & Overall F Test | 
| Time Series Data Forecasting | 
| Nonparametric Statistics | 
| Practical Test (Python/Colaboratory) | 
Econometrics Practicum 1
					
| Introduction to RStudio Application (script & library) | 
|---|
| Data or table input (reading Excel tables, etc.) | 
| Plot and Data Visualization | 
| Correlation (qualitative & quantitative) | 
| Regression (Simple & Multiple) | 
| ANOVA Analysis & Residual Plot | 
| Classical Assumptions (Autocorrelation, Heteroscedasticity, Multicollinearity) | 
| Practical Exam (RStudio) | 
| Dummy Variable Regression | 
| Time Series Data Stationarity | 
| Time Series Data Regression | 
| Qualitative Response Regression | 
| Simultaneous Equation Regression | 
| Instrumental Variable Regression | 
| Panel Data Regression | 
| Practical Test (RStudio) | 
Econometrics Practicum 2
					
	 
Time series data input 
	 
Forecast: Trend, MA, ES 
	 
Criteria: MAD, MSE, MAPE, MPE 
	 
Decomposition: Tr * Sn * Cl * Ir 
	 
Autoregressive (AR) & Correlogram 
	 
Stationarity & ARIMA 
	 
ARCH & GARCH Models 
	 
Practical Exam (Gretl/Rstudio) 
	 
Causality & Cointegration 
	 
ARDL, Koyck, & Almon 
	 
PAM, ECM, ARDL(1,1) 
	 
VAR 
	 
Static Panel 
	 
Dynamic Panel 
	 
Spatial Panel 
	 
Practical Test (Gretl/Rstudio)