The training will enhance the knowledge and skills of the participants to analyse data in a fast, accurate and easier manner by using Stata software and will know how to interpret and present the results. This will also enable participants to gain experience of the practical application of the statistical analytical techniques.

Who should attend?

The training is designed for participants who intend to learn the use of Stata for data management and data analysis. Those working in the corporate world, public sector, research institution and NGOs.

How attendees will benefit?

After completion of the program, delegates will be able to:

• Understand and appropriately use statistical terms and concepts
• Perform data analysis tasks with Stata
• Perform simple to complex data management tasks using Stata software
• Statistical tests using Stata

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