Data Management & Analysis using STATA

Categories: Data Analysis
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About Course

This course equips learners with practical, hands-on skills in data analysis using Stata, from data preparation, manipulation and management to statistical analysis and visualization. It is designed for students, researchers, and professionals who want to confidently analyze real-world data and produce high-quality, evidence-based insights.

What Will You Learn?

  • Understand different data types and structures in Stata
  • Enter data manually and import datasets from Excel, CSV, SPSS, and Stata formats
  • Manage files by saving and exporting data for reporting and sharing
  • Explore and describe datasets using key commands of STATA
  • Organize and format data by renaming variables and applying labels
  • Clean and transform data by generating, replacing, and recoding variables
  • Summarize data using measures of central tendency and dispersion
  • Create and interpret frequency tables and cross tabulations
  • Visualize data using graphs and charts including bar charts, pie charts, histograms, scatter plots, and line graphs
  • Write reproducible and well-documented code using do-files and log files
  • Analyze real-world datasets and produce clear, professional outputs

Course Content

Module 1: Overview of STATA

  • Lesson 1: Overview of STATA
    14:25
  • Lesson 2: STATA Installation
    05:07
  • Lesson 3: Working with STATA Interface
    04:47
  • Quiz

Module 2: Reading and Loading Dataset

Module 3: Data Description

Module 4: Data Formatting

Module 5: Data Manipulation

Module 6: Data Summary

Module 7: Data Visualization

Capstone Project
This capstone project requires learners to apply the skills covered throughout the course by conducting a complete data analysis in Stata and documenting all steps in a do-file. Students will use the syntax learned in previous modules to import, describe, format, manipulate, summarize, and visualize data. The project is designed to strengthen practical skills in writing organized and reproducible Stata commands, while producing outputs that can be used for interpretation and reporting.

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