Free Coupon Code STATA Mastery: Practical Data Analysis & Interpretation 100% OFF

Udemy Free coupon code for STATA Mastery: Practical Data Analysis & Interpretation course taught by Dr. Nasir Munir, which has 0 students and is rated 0.0 out of 0 votes. This course is about 6 hour(s) 10 minute(s) in English and was updated on January 19, 2026. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Hands-On STATA: Practical Application & Clear Interpretation

Course Description

This course provides a comprehensive introduction to STATA, a powerful statistical software widely used in various fields such as economics, sociology, political science, and public health. The course focuses on the practical application of STATA, covering data management, statistical analysis, and interpretation of results. Students will learn how to perform a range of statistical tests, create meaningful visualizations, and draw valid conclusions from their data. Through hands-on exercises and real-world examples, students will develop the skills necessary to effectively use STATA for their research and professional needs.

Course Objectives

1. To provide students with a thorough understanding of the STATA interface and its functionalities.

2. To teach students how to import, manage, and manipulate datasets in STATA.

3. To equip students with the knowledge to perform a variety of statistical tests and analyses using STATA.

4. To enable students to interpret and communicate the results of their statistical analyses effectively.

5. To develop students’ ability to create and customize data visualizations in STATA.

   Introduction to STATA

   Overview of STATA

   Installation and setup

   Navigating the STATA interface

   Basic commands and syntax

   Data types and structures in STATA

Data Management in STATA

• Importing data from various sources (Excel, CSV, etc.)

• Data cleaning and preparation

• Data transformation (sorting, merging, reshaping)

• Handling missing data

Descriptive Statistics

• Summary statistics (mean, median, mode, etc.)

• Frequency distributions and cross-tabulations

• Measures of dispersion (variance, standard deviation, etc.)

• Data visualization (histograms, bar charts, pie charts)

Inferential Statistics I

• Hypothesis testing

• t-tests (one-sample, independent, paired)

• Chi-square tests

• Analysis of variance (ANOVA)

Inferential Statistics II

• Correlation analysis

• Simple linear regression

• Multiple regression analysis

• Assumptions and diagnostics for regression models

Advanced Statistical Tests

• Logistic regression

• Factor analysis

• Time series analysis

• Panel data analysis

Estimating Models in STATA

• Detecting Multicollinearity

• Solution to Multicollinearity

• Stationarity of Time Series

• Stationarity of Panel data

• Converting non-stationary series to Stationary

• R-Sqaure

• Auto-Correlation

• Removal of Auto-Correlation

• Johansen-cointegration Test

• Granger Causality Test

• VAR model

• Forecasting in VAR model

• VECM model

• Fixed Effect

• Random Effect

• Hausman Test

  
  

  Preparing Reports and Documentation

• Creating tables and reports in STATA

• Documenting and annotating your work

• Best practices for reproducible research

• Sharing and collaborating on STATA projects

Special Topics in STATA

• Survey data analysis

• Handling complex survey designs

• Advanced econometric techniques

• Customizing STATA with user-written commands

Review and Final Project

• Review of key concepts and techniques

• Q&A and troubleshooting

• Final project presentations

• Course wrap-up and feedback