Advanced Stata Programming, Data Wrangling and Analysis
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DATES

Start :2025-08-04End  :2025-08-08

DURATION

5 days, Mon - Fri8:30 am - 4:30 pm

CHARGES

$850 + 16% VATFlexible payment

Registration

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Course description

This course provides a structured introduction to Stata, a powerful statistical software widely used in economics, social sciences, and public health research. Designed for beginners and intermediate users, the program equips participants with essential skills for data management, statistical analysis, and reproducible research. You will begin by learning the Stata environment, including data import/export, variable manipulation, and basic commands. As the course progresses, you will explore data cleaning, transformation, and visualization, as well as descriptive and inferential statistics. Advanced topics include regression analysis, hypothesis testing, automation with loops and macros, and custom programming with do-files and ado-files.

Learning outcomes

By the end, participants will be able to:
  • Install Stata software and understand its user interface.
  • Identify and work with different data types in Stata.
  • Load/export data from/to various sources, save, and explore datasets.
  • Recognize and handle errors in Stata effectively using control statements and error-handling functions.
  • Utilize conditional and repetitive control structures to automate tasks.
  • Perform essential data wrangling tasks.
  • Select and manipulate specific variables and observations to create focused data subsets.
  • Identify and resolve common data quality issues.
  • Merge and concatenate datasets using various join techniques to combine data from multiple sources.
  • Conduct exploratory data analysis (EDA) including frequency tables and descriptive statistics.
  • Perform correlation analysis and predictive modeling (linear and logistic regression).

Course Outline

5 days | Monday - Friday
MODULE 1: Fundamentals of Stata Programming
MODULE 2: Data Wrangling and Cleaning using Pandas Part I
MODULE 3: Data Wrangling and Cleaning using Pandas Part II
MODULE 4: Exploratory Data Analysis and Automated Reporting
MODULE 5: Regression Analysis of Continuous Outcomes
MODULE 6: Regression Analysis of Continuous Outcomes

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Early registrations are encouraged.
Flexible payment options are available.
Start : 2025-08-04
End  : 2025-08-08
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