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  1 sample t test


                         1 sample z test



                         ANOVA


                         2 Proportion test


                         Chi-Square test


                         Non-Parametric test



                         Non-Parametric test continued


                         Hypothesis testing using Python and R


                         Linear Regression



                         Scatter Diagram


                         Correlation Analysis


                         Principles of Regression


                         Introduction to Simple Linear Regression



                         R shiny and Python Flask


                         Introduction to R shiny and Python Flask (deployment)


                         Multiple Linear Regression



                         Scatter diagram


                         Correlation Analysis


                         Correlation coefficient


                         Ordinary least squares
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