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Course Outline
Database Preparation 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
- Assessing sample size requirements
- Applying the Central Limit Theorem
Analyzing Differences in Statistical Characteristics
- Conducting tests based on means and medians
Analysis of Correlations and Similarities
- Exploring correlations
- Performing principal component analysis
- Conducting cluster analysis
Prediction: Single and Multivariate Regression Analysis
- Utilizing the method of least squares
- Constructing Linear Models
- Implementing instrumental variable regression models (dummy coding, effect coding, orthogonal coding)
Statistical Inference
Requirements
Participants must have prior knowledge of SPSS and fundamental statistical concepts. Completion of the introductory course on SPSS Statistics Predictive Analytics Software 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.
