Get data and installing the required softwares

Learn how to build database, coding, descriptive, reliability, consistency analysis, type of variables, chi-square (test of independency), normality analysis, graphs.

test of hypothesis, t test, paired test, ANOVA, ANCOVA, parametric, non-parametric, ​repeated measures ANOVA.

correlation analysis, modeling (regression, logistic regression, GLM). 

Reporting results (academic and non academic interpretations)

All goals test are attached here, you should receive more than 70% to pass this course

This study aimed to explain the basic concepts of sample size calculation and power analysis; the process of sample estimation

You can use this platform for data analysis using RStudio

Data can do beautiful things, but turning your survey results into clear, compelling analysis isn’t always a straightforward task. We’ve collected our tips for survey analysis along with a beginner’s guide to survey data and analysis tools.