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Course Outline
Preparing a Database for Analysis
- Managing data collection
- Performing operations on variables
- Transforming selected variables using functions (e.g., logarithmic, exponential)
Parametric and Nonparametric Statistics: Fitting Models to Data
- Measurement scales
- Distribution types
- Outliers and influential observations
- Sample size considerations
- The Central Limit Theorem
Analyzing Differences in Statistical Characteristics
- Tests based on means and medians
Analysis of Correlations and Similarities
- Correlation analysis
- Principal Component Analysis (PCA)
- Cluster analysis
Prediction: Single and Multivariate Regression Analysis
- Method of least squares
- Linear models
- Instrumental variable regression models (dummy, effect, and orthogonal coding)
Statistical Inference
Requirements
Participants should have prior knowledge of SPSS and fundamental statistics. Completion of the SPSS Statistics Predictive Analytics Software training course is required.
28 Hours
Testimonials (3)
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
The variation with exercise and showing.
Ida Sjoberg - Swedish National Debt Office
Course - Econometrics: Eviews and Risk Simulator
The real life applications using Statcan and CER as examples.
