- Promoted by: Anonymous
- Platform: Udemy
- Category: Social Science
- Language: English
- Instructor: Dr. Nasir Munir
- Duration: 6 hour(s) 10 minute(s)
- Student(s): 0
- Rate 0 Of 5 From 0 Votes
- Expired on January 21, 2026
-
Price:
19.990
Hands-On STATA: Practical Application & Clear Interpretation
Unlock your potential with a Free coupon code
for the "STATA Mastery: Practical Data Analysis & Interpretation" course by Dr. Nasir Munir on Udemy.
This course, boasting a 0.0-star rating from 0 reviews
and with 0 enrolled students, provides comprehensive training in Social Science.
Spanning approximately
6 hour(s)
10 minute(s)
, this course is delivered in English
and we updated the information on January 20, 2026.
To get your free access, find the coupon code at the end of this article. Happy learning!
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
To provide students with a thorough understanding of the STATA interface and its functionalities.
To teach students how to import, manage, and manipulate datasets in STATA.
To equip students with the knowledge to perform a variety of statistical tests and analyses using STATA.
To enable students to interpret and communicate the results of their statistical analyses effectively.
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