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Course Outline
Preparing a Database for Analysis
- Managing data collection processes
- Performing operations on variables
- Transforming variables using selected functions (e.g., logarithmic, exponential)
Parametric and Nonparametric Statistics: Fitting Models to Data
- Understanding measurement scales
- Identifying distribution types
- Handling outliers and influential observations
- Determining sample size
- Applying the central limit theorem
Analyzing Differences Between Statistical Characteristics
- Conducting tests based on means and medians
Correlation and Similarity Analysis
- Calculating correlations
- Performing principal component analysis
- Conducting cluster analysis
Prediction: Single and Multivariate Regression Analysis
- Applying the least squares method
- Building linear models
- Using instrumental variable regression models (dummy, effect, and orthogonal coding)
Statistical Inference
Requirements
Participants must possess foundational knowledge of SPSS and 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.
