Quantitative Data Management & Analysis With STATA

Course Overview

Stata is a powerful statistical software package widely used for data analysis, data management, and graphics. It's particularly popular among researchers, statisticians, and data scientists for its ability to handle large datasets and perform complex statistical computations with ease. Stata offers an intuitive graphical user interface, making it accessible for both beginners and advanced users.

This training course on data analysis using Stata, a powerful statistical software application. Stata is designed for managing information, graphics, and advanced data analysis, including features for forecasting, survival analysis, time sequence analysis, and survey methods. Its intuitive graphical interface makes it accessible for users of all levels.

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