Course Outline

Module 1: Introduction to Advanced Graphics in STATA

• Overview of graphical capabilities in STATA
• Customizing graph types and features
• Exporting and saving graphs
• Advanced graph options and settings
• Case Study: Comparing sales trends across different regions using line and bar graphs

Module 2: Data Visualization Techniques

• Creating scatterplots and adding regression lines
• Histograms and density plots
• Boxplots and violin plots for distributions
• Multi-panel graphs for comparative analysis
• Case Study: Visualizing customer satisfaction scores by demographic factors

Module 3: Complex Tabulations and Summaries

• Generating frequency tables
• Cross-tabulations and chi-square tests
• Summary statistics with multiple group comparisons
• Using table and tabstat commands
• Case Study: Analyzing survey responses to identify patterns and correlations

Module 4: Handling Missing Data in Graphics

• Identifying missing data patterns
• Visualizing missing data with graphs
• Strategies for dealing with missing data in analyses
• Implementing imputation methods
• Case Study: Assessing the impact of missing data on survey results

Module 5: Advanced Regression Analysis

• Multiple regression modeling
• Interaction effects and moderating variables
• Diagnostics and model validation
• Visualizing regression results with graphs
• Case Study: Evaluating the effect of marketing strategies on sales performance

Module 6: Time Series Analysis and Visualization

• Plotting time series data
• Decomposition and trend analysis
• Seasonal effects and forecasting
• Time series regression and autocorrelation
• Case Study: Analyzing monthly stock prices for trend and seasonality

Module 7: Panel Data Analysis

• Creating and managing panel datasets
• Fixed effects vs. random effects models
• Visualizing panel data results
• Interpreting coefficients and model fit
• Case Study: Examining economic growth indicators across countries over time

Module 8: Advanced Statistical Tests and Procedures

• ANOVA and MANOVA techniques
• Non-parametric tests and their applications
• Post-hoc analysis and comparisons
• Visualizing results from statistical tests
• Case Study: Comparing treatment effects across different patient groups

Module 9: Multivariate Analysis and Visualization

• Principal Component Analysis (PCA)
• Factor Analysis and dimensionality reduction
• Cluster analysis and visualization
• Interpreting multivariate results with graphs
• Case Study: Segmenting customer data for targeted marketing strategies

Module 10: Customizing and Automating Graphics

• Writing custom graph scripts
• Automating repetitive graph tasks
• Creating graph templates and styles
• Sharing and integrating custom graphics with reports
• Case Study: Developing a customized reporting dashboard for financial analysis