Introduction to Data Management and Analysis Using Stata

Data analysis with STATA is designed to train participants to be professional data analysts. To be an expert in using STATA, one requires a basic knowledge on descriptive statistics. It is only through learning 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 an individual can become proficient in using Stata while performing data analysis.

MODULES

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.

CERTIFICATION

Upon successful completion of the training, participants will be awarded Cynet East Africa Consultancy certificate.

N/B

Online training available at USD 710.

Training will be facilitated by Cynet East Africa Consultancy seasoned trainers.