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This module provides a practical introduction to the statistical methods used in quantitative research. It covers regression analysis, hypothesis testing, and multivariate analysis, enabling students to competently use software tools and interpret statistical results.
Regression & econometrics basics
Hypothesis testing and p-values
Multivariate analysis techniques
Software tools (SPSS, R, Python)
Interpreting statistical results correctly
Hands-on computer labs using statistical software (SPSS, R, or Python), data analysis projects, and interpretation workshops.
Researchers and professionals seeking practical skills in statistical analysis.
Basic understanding of mathematics or statistics. Interest in applying statistical methods using software like SPSS, R, or Python.
Join this course and gain the skills you need to excel in your field.
Attend this Course