Dive into a comprehensive series of R tutorials covering essential aspects of data management, analysis, and visualization. Learn to download and install R and RStudio, navigate the RStudio interface, create and save R scripts, and set up projects. Master data manipulation techniques including reading, cleaning, filtering, and restructuring data. Explore statistical analyses such as descriptive statistics, reliability testing, t-tests, ANOVA, and various regression methods. Develop skills in data visualization with scatterplots and bar charts. Tackle advanced topics like path analysis, mediation analysis, survival analysis, and text analysis. Gain practical experience in creating Shiny web apps and evaluating disparate impact using various statistical methods. Download accompanying data files from the provided GitHub repository to practice hands-on exercises throughout the tutorials.