Provides an example to make docker-compose wait for container dependencies (example: MySQL, Postgres, Redis, Mongodb) using the dockerize tool. Describes the t-test effect size using the Cohen's d. You will learn Cohen's d formula, calculation in R, interpretation of small, medium and large effect. Describes how to do a paired t-test in R/Rstudio. You will learn the calculation, visualization, effect size measure using the Cohen's d, interpretation and reporting. Describes how to do a two-sample t-test in R/Rstudio. You will learn the calculation, visualization, effect size measure using the Cohen's d, interpretation and reporting. Describes how to do a one-sample t-test in R/Rstudio. You will learn the calculation, visualization, effect size measure using the Cohen's d, interpretation and reporting. Describes how to do a t-test in R/Rstudio. You will learn how to 1) interpret and report the t-test; 2) add p-values and significance levels to a plot and 3) calculate and report the t-test effect size. Describes the paired t-test assumptions and provides examples of R code to check whether the assumptions are met before calculating the t-test. Describes the independent t-test assumptions and provides examples of R code to check whether the assumptions are met before calculating the t-test. Describes the one sample t-test assumptions and provides examples of R code to check whether the assumptions are met before calculating the t-test. Describes the t-test assumptions and provides examples of R code to check whether the assumptions are met before calculating the t-test. You will learn the assumptions of the different types of t-test, including the one-sample t-test, independent t-test and paired t-test.