This intensive, 10-hour course provides a comprehensive introduction to research data analysis using STATA, enhanced with the assistance of Artificial Intelligence (AI). Delivered via live ZOOM sessions, this program equips participants with essential and practical skills for effectively managing, analyzing, and interpreting research data. Key areas covered include data management and cleaning protocols, descriptive and inferential statistics, regression models, and panel data analysis techniques. A unique element of this course involves integrating AI tools to streamline workflows, assist in generating code and commands for statistical analysis software, and facilitate output interpretation, thereby enhancing analytical efficiency and accuracy. Participants will engage in hands-on exercises and complement their learning with an applied analytical workshop, ensuring the development of practical competencies for academic and professional research endeavors.

• Efficiently navigate the STATA environment and execute fundamental data management and analysis commands.
• Implement robust procedures for importing, evaluating, cleaning, and preparing research data using STATA, leveraging AI to enhance efficiency.
• Conduct and interpret the results of linear, logistic, and ordinal regression models relevant to diverse research questions.
• Critically assess underlying assumptions of regression models using appropriate diagnostic tests.
• Perform panel data analysis using fixed and random effects models, supported by relevant specification tests.
• Produce well-formatted tables and graphical displays suitable for research reports and publications.
• Strategically utilize AI-powered tools to assist in code development, troubleshooting, and statistical output interpretation.
• Structure and document STATA analysis workflows to ensure transparency and reproducibility.

• Undergraduate students for analyzing graduation research projects.
• Master's and Ph.D. students.
• Researchers, academics, and policy analysts.

• No prior STATA experience is required.
• Familiarity with basic research principles and fundamental statistical concepts is preferred.

10 Hours