Course Outline

Preparation of a database for analysis

  • management of data collection
  • operations on variables
  • transforming the variables selected functions (logarithmic, exponential, etc.)

Parametric and nonparametric statistics, or how to fit a model to the data

  • measuring scale
  • distribution type
  • outliers and influential observations (outliers)
  • sample size
  • central limit theorem

Study the differences between the characteristics of statistical

  • tests based on the average and media

Analysis of correlation and similarities

  • correlations
  • principal component analysis
  • cluster analysis

Prediction - single regression analysis and multivariate

  • method of the least squares
  • Linear Model
  • instrumental variable regression models (dummy, effect, orthogonal coding)

Statistical Inference


Knowledge of SPSS and the basis of statistics. Course participant should complete the training of SPSS Statistics Predictive Analytics Software.

 28 Hours

Testimonials (5)