Introduction of Data Analysis Using STATA Training

About the Program

Data analysis with Stata is designed to train course participants to be professional data analysts. It is designed for participants without or with very little experience using Stata, but it requires basic knowledge on descriptive statistics. Course participants will learn how to “talk” to Stata, importing data to Stata, constructing a workflow in Stata, dealing with missing data, data manipulation, running basic statistical routines, combining datasets, programming, creating communicative graphics, running regression models, and presenting statistical results.

Program Objectives

• To obtain the necessary skills to be able to work and conduct their own empirical analyses with the statistical software STATA.
• To Understand and appropriately use statistical terms and concepts
• To Perform data analysis tasks with Stata
• To  Perform simple to complex data management tasks using Stata software

Target Audience

• Data Analysts and Professionals.
• Researchers and Academics.
• Students and Beginners.
• Statisticians and Data Scientists.
• Government and Policy Analysts.

Training Period

• Classroom: 5 Days
• Online: 7 Days

Module 1: Introduction to STATA and data management tools.

• Stata interface and files.
• Using do-files.
• Variables, locals and global.
• Changing directory.
• Opening, browsing, saving, sorting, importing and exporting datasets.
• Stata Help.
• Saving results output in a log file.
• Renaming, labelling, ordering, creating and replacing variables.
• Merging and appending datasets.
• Manipulating datasets (reshape; collapse).
• Using loops (foreach; for values).
• Summary statistics (sum; _pctile; by(varlist)).
• Useful functions for creating summary variables (egen).
• Creating graphs (line plots; scatter plots).

Module 2: Statistical Tests using Stata.

• Data cleaning with large datasets.
• OLS and output interpretation.
• Hypothesis testing.
• One Sample T Test.
• Independent Samples T Test.
• Paired Samples T Test.
• One-Way ANOVA.

Module 3: Associations in Stata.

• Chi-Square test.
• Pearson’s Correlation.
• Spearman’s Rank-Order Correlation.

Module 4: Predictive Models using Stata.

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

Module 5: Panel Data Analysis using Stata.

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

Module 6: Time Series Analysis using Stata.

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

Module 7: Econometric Analysis.

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

Delivery Method

This program is taught through a mix of practical activities, theory, group work and case studies. Training manuals and additional reference materials are provided to the participants.

CERTIFICTION

Upon successful completion of the training, participants will be awarded a certificate of course completion