Online courses
The courses of statistics (SPSS, STATA etc.) are tailored to the requirements and the level of knowledge of the persons concerned.
In particular, the following thematic units include:
Unit 1: Introduction to the environment of the statistical program.
Unit 2: Descriptive Statistics.
- Data entry, recode and transform variables
- Measures of central tendency (mean, median etc), measures of dispersion (variance, standard deviation etc.).
- Graphical representation of data (histogram, pie, bar chart, etc. ).
- Outliers – missing data.
Unit 3: Hypothesis Testing (parametric and non-parametric).
- Normality Test
- Ccorrelation Coefficients
- T-test
- Anova
- Linear Regression
- Chi-square Test
Unit 4: Advanced Statistical Methods.
- Logistic Regression.
- Ordinal Regression.
- Longitudinal Analysis.
- Survival Analysis.
Unit 5: Multivariate Statistical Analysis.
- Factor Analysis.
- Cluster Analysis.
Unit 6: Reliability Analysis.
Unit 7: Generation of Statistical Conclusions.
- Interpretation of results
- Presentation of research findings
- Research study structure
We also provide the following courses:
- For core statistic knowledge in order to facilitate the understanding of statistical concepts encountered in the courses
- For questions arising upon completion of each statistical analysis regarding the methodology used and the statistical conclusions
The courses are address to:
- Researchers
- People requiring assistance in their work
The participants, after the end of the courses, are able to:
- Use the statistical program (SPSS, STATA κ.α.) on which the courses were conducted
- Understand core statistical concepts
- Perform statistical analysis on real data and interpret statistical results
