About Course

Data Analysis Using Stata Training | Kenya

Category: Data Management and Analysis Training

Overview

The Expedition

The Data Analysis Using STATA Training equips professionals with the practical knowledge to work confidently with data. This hands-on course teaches participants how to manage datasets, perform statistical analysis, and interpret results using STATA software. Through real-world exercises, you will learn how to import, clean, and manipulate data efficiently and apply essential statistical concepts to drive sound conclusions.

Whether you are just starting with STATA or aiming to enhance your skills, this training builds your capacity to carry out empirical analysis and support evidence-based decision-making.

The program is available both in-person and virtually. Participants who complete the course receive a certificate of completion.

Program Objectives

By the end of this Data Analysis Using Stata Training, participants will be able to:

Navigate the STATA interface and effectively manage datasets using essential tools like do-files, variables, loops, and directory settings.
Import, export, merge, append, and reshape datasets while creating summaries and visual outputs such as graphs and logs.
Apply appropriate statistical tests including t-tests, ANOVA, and hypothesis testing for various data analysis scenarios.
Perform association tests using Chi-square, Pearson’s correlation, and Spearman’s rank correlation methods.
Build and interpret predictive models including linear, multiple, logistic, and ordinal regression.
Analyze panel data using fixed effects, random effects, and determine the best-fitting model.
Conduct time series analysis in STATA by plotting data, analyzing trends and seasonality, and applying forecasting techniques.
Perform econometric analysis on cross-sectional, panel, and time-series datasets to support policy, financial, and research decisions.

Target Audience

This training is suitable for:

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

Course Modules

1: Introduction to STATA and data management tools.

Stata interface and files
Using do-files
Variables, locals and globals
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; forvalues)
Summary statistics (sum; _pctile; by(varlist))
Useful functions for creating summary variables (egen)
Creating graphs (line plots; scatter plots)

2: Statistical Tests using Stata.

3: Associations in Stata.

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

4: Predictive Models using Stata.

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

5: Panel Data Analysis using Stata.

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

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.

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 delivered through a mix of practical exercises, theory, group work, and case studies. Participants receive training manuals and additional reference materials for further study.