Program interface and how to enter, code, and recode data.
Descriptive statistics (graphical presentation, measures of central tendency, and measures of dispersion).
Working with questionnaires and testing reliability and validity (Cronbach’s Alpha).
Hypothesis testing (T-Test, ANOVA).
Correlation analysis and linear regression.
Lecturer - Data Analyst