About Course

Day 1: Introduction to STATA

Morning Session:

1. Introduction to STATA and its interface.
2. Basic commands and syntax.
3. Data management: Importing and exporting data.
4. Understanding data types and variables.

Afternoon Session:

5. Descriptive statistics: Summary statistics, histograms, and box plots.
6. Data cleaning and handling missing values.
7. Data manipulation: Sorting, merging, and appending datasets.
8. Practice exercises.

Day 2: Data Visualization in STATA

Morning Session:

1. Introduction to data visualization in STATA.
2. Creating scatter plots and line graphs.
3. Customizing graphs: Titles, labels, and colors.
4. Saving and exporting graphs.

Afternoon Session:

5. Creating bar charts and histograms.
6. Adding multiple graphs to a single display.
7. Introduction to advanced visualization options.
8. Practice exercises.

Day 3: Statistical Analysis in STATA (Part 1)

Morning Session:

1. Introduction to hypothesis testing.
2. t-tests and ANOVA.
3. Chi-square tests.
4. Regression analysis: Linear regression.

Afternoon Session:

5. Interpreting regression results.
6. Diagnostic tests and assumptions in regression.
7. Logistic regression.
8. Practice exercises.

Day 4: Statistical Analysis in STATA (Part 2)

Morning Session:

1. Non-parametric tests: Wilcoxon, Mann-Whitney, etc.
2. Survival analysis.
3. Time series analysis.
4. Panel data analysis.

Afternoon Session:

5. Introduction to hypothesis testing in non-parametric tests.
6. Introduction to survival analysis and time series analysis.
7. Panel data analysis and fixed/random effects models.
8. Practice exercises.

Day 5: Advanced Topics and Review

Morning Session:

1. Data programming and looping in STATA.
2. Introduction to STATA macros.
3. Handling large datasets.
4. Review of key concepts.

Afternoon Session:

5. Course summary and Q&A session.
6. Tips for efficient data analysis in STATA.
7. Final project or case study.
8. Course conclusion and certificates.

This is a condensed 5-day course outline, so it's important to note that the depth of coverage for each topic may vary depending on the prior experience of the participants and the course duration. Adjust the pace and content as needed to suit the learning needs of your audience.