Quantitative Data Management & Analysis With STATA

Course Overview

Welcome to our engaging course on data analysis using Stata!  Stata is a powerful statistical software that excels in data management, graphics, and advanced data analysis. With features like forecasting, survival analysis, time series analysis, and survey methods, Stata is your ultimate tool for comprehensive data insights. Its intuitive graphical interface makes it accessible for users at all levels, whether you're a beginner or an experienced analyst.

Course Objectives 

By the end of this course, you will be able to:

• Manage and Structure Databases: Efficiently handle large datasets with ease.
• Generate Descriptive Statistics: Create and interpret summary statistics.
• Create Publication-Quality Graphs: Develop high-quality visualizations for reports.
• Perform Data Analysis and Estimations: Utilize Stata's robust analysis tools.
• Master Workflow Commands: Streamline your data analysis processes.

Who Can Attend? 

This course is ideal for statisticians, analysts, and aspiring data scientists who wish to enhance their data analysis skills using Stata.

Course Outline 

Module 1: Introduction to Statistical Analysis

• Overview of the research process
• Distinguishing between populations and samples
• Differences in research designs: experimental vs. non-experimental
• Understanding independent and dependent variables

Module 2: Introduction to Stata

• Navigating datasets in Stata
• Introduction to essential Stata commands
• Working with variables and performing basic analysis
• Creating graphics using Stata's command syntax

Module 3: Statistical Tests Using Stata

• Conducting one-sample, independent, and paired t-tests
• Performing One-Way ANOVA

Module 4: Associations in Stata

• Chi-Square test for independence
• Analyzing correlations: Pearson's and Spearman's

Module 5: Predictive Models Using Stata

• Linear, multiple, and logistic regression analysis
• Ordinal regression techniques

Module 6: Panel Data Analysis Using Stata

• Exploring fixed and random effects models
• Selecting the appropriate model for analysis

Module 7: Time Series Analysis Using Stata

• Introduction to time series analysis
• Plotting and analyzing time series data
• Exploring seasonal differences and autocorrelations
• Developing forecast models

Module 8: Econometric Analysis

• Cross-sectional, panel, and time-series econometric analysis