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Potenmunia Tech School

Learn Stata Statistical Software From Scratch

About Course

Master Stata Statistical Software and gain advanced skills in data analysis, econometrics, statistical modeling, biostatistics, predictive analytics, panel data analysis, and research methodology using one of the world’s leading statistical software applications. This industry-relevant Stata training programme prepares learners to perform descriptive statistics, regression analysis, time series analysis, survival analysis, econometric modeling, and data visualization, supporting careers in economics, public health, finance, government, academia, and international development. Through practical case studies and real-world datasets, learners will develop the analytical expertise required to produce accurate statistical insights, research reports, and evidence-based policy recommendations.

What Will You Learn?

  • Navigate the Stata interface and manage data
  • Clean, transform, and prepare data for analysis
  • Apply descriptive statistics and cross-tabulation
  • Perform linear, multiple, and logistic regression
  • Conduct panel data, time series, and survival analysis
  • Apply econometric modeling, instrumental variables, and forecasting
  • Design research studies and produce publication-ready reports
  • Apply Stata to public health, finance, and policy analysis
  • Complete an end-to-end statistical analysis capstone project

Course Content

Module 1: Introduction to Stata
• Stata Interface • Data Management • Importing & Exporting Data • Stata Commands

Module 2: Data Preparation & Management
• Data Cleaning • Variable Management • Data Transformation • Missing Data Treatment

Module 3: Descriptive Statistics
• Frequency Tables • Summary Statistics • Cross-Tabulation • Data Visualization

Module 4: Regression Analysis
• Linear Regression • Multiple Regression • Logistic Regression • Model Diagnostics

Module 5: Advanced Statistical Analysis
• Panel Data Analysis • Time Series Analysis • Survival Analysis • Multilevel Modeling

Module 6: Econometrics with Stata
• Econometric Models • Instrumental Variables • Forecasting • Causal Inference

Module 7: Research Methods & Reporting
• Research Design • Data Interpretation • Statistical Reporting • Publication-Ready Outputs

Module 8: Advanced Applications of Stata
• Public Health Analytics • Financial Data Analysis • Economic Policy Analysis • Impact Evaluation

Module 9: Capstone Project
Complete an end-to-end statistical analysis project using Stata, applying advanced econometric techniques, predictive modeling, and data visualization to solve a real-world research or business problem.

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