Training on data analysis using STATA refers to a statistical application which can be used in the management of information, graphics, and analysis. It includes advanced features including forecasting, data analysis, survival analysis, and time sequence analysis and also surveys methods. It may be used via a graphical interface utilizing very intuitive language.

Course Objectives:

• Manage, edit as well as structure huge databases

• Generating descriptive figures

 • Creating effective publication-quality graphs.

• Data Analysis/Estimations

Workflow use commands

Who can attend?

Statisticians, analysts, and up-coming data scientists who wish to learn analysis of data with STATA.

Course Outline

Introduction to Statistical Analysis

• Explain the basic steps of the research process
• Explain differences between populations and samples
• Explain differences between experimental and non-experimental research designs
• Explain differences between independent and dependent variables

Introduction to Stata

• Datasets in Stata
• Introduction to Stata commands
• Working with variables in Stata
• Basic analysis using Stata

Graphics using Stata

• Introduction to Stata GUI
• Graph command syntax
• Different types of Graphs in Stata

Statistical Tests using Stata

• One Sample T Test
• Independent Samples T Test
• Paired Samples T Test
• One-Way ANOVA

Associations in Stata

• Chi-Square test
• Pearson's Correlation
• Spearman's Rank-Order Correlation

Predictive Models using Stata

• Linear Regression
• Multiple Regression
• Logistic Regression
• Ordinal Regression

Panel Data Analysis using Stata

• Exploration of panel data
• Fixed effects model/LSDV
• Random effects model
• Choosing the appropriate model

Time Series Analysis using Stata

• Introduction to time series analysis using Stata
• Plotting a time series
• Seasonal differences
• Auto correlations
• Forecast models in Stata

Econometric Analysis

• Econometric Analysis of cross-sectional data
• Econometric Analysis of panel data
• Econometric Analysis of time-series data