Statistics Practicum 1
Statistics Practicum 2
Econometrics Practicum 1
Econometrics Practicum 2
Statistics Practicum 1
| Introduction to Python or Colaboratory Applications |
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| 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 |
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| 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)