Training Course on Quantitative Data Management and Analysis using Stata

Quantitative data plays a central role in informing policy decisions, guiding program implementation, and supporting evidence-based research across diverse sectors. Stata is a powerful statistical software used globally by researchers, analysts, and institutions for data management, statistical analysis, and graphical visualization. Its flexibility, user-friendly syntax, and strong statistical capabilities make it ideal for managing and analyzing large datasets in fields such as economics, health, social sciences, agriculture, and development.

This practical training course equips participants with essential skills to efficiently manage and analyze quantitative data using Stata. The training combines theoretical concepts with hands-on exercises, enabling participants to clean, manipulate, analyze, and present data confidently. The course is suitable for both beginners and intermediate users seeking to strengthen their analytical capacity using real-world data.

Participants who successfully complete the course will receive Certificate of Participation.

OBJECTIVES

By the end of this training, the participants will be able to;

• Understand the Stata interface and its core functionalities.
• Create and manipulate figures and graphs using STATA
• Perform data entry, cleaning, transformation, and management using Stata commands and menus.
• Manage and edit large data sets
• Generate descriptive and inferential statistics as methods of data presentation
• Comprehend the basic functions that are utilized while using STATA
• Evaluate the various methods of data collection and analysis
• Interpret and present analytical results using tables and graphs.
• Apply regression, correlation, and hypothesis testing techniques.
• Automate and reproduce analysis using Stata do-files and log-files.

DURATION

5 days

WHO SHOULD ATTEND?

The course is intended for:

• M&E professionals and data analysts
• Researchers and academic staff
• Program managers and technical advisors
• Statisticians and economists
• Graduate students working with survey or administrative data
• Anyone involved in data-driven decision-making or reporting

COURSE OUTLINE

Module 1: Introduction to Stata and Data Management

Overview of Stata interface and commands

Data formats and file structures in Stata

Importing and exporting data

Labeling variables and values

Data cleaning: detecting and handling missing values

Sorting, filtering, and summarizing data

Module 2: Data Manipulation and Exploration

• Generating new variables
• Recoding and transforming data
• Appending and merging datasets
• Descriptive statistics (mean, median, frequency, proportions)
• Cross-tabulations and simple data summaries

Module 3: Data Visualization and Reporting

• Creating tables and charts (bar, pie, histogram, boxplots)
• Customizing graphs and exporting results
• Introduction to do-files and log-files for reproducibility
• Exporting results to Excel, Word, or PDF

Module 4: Statistical Analysis – Part I

• Introduction to hypothesis testing
• T-tests (one-sample, independent, paired)
• Chi-square tests and ANOVA
• Correlation analysis
• Introduction to simple linear regression

Module 5: Statistical Analysis – Part II

• Multiple regression analysis
• Logistic regression basics
• Introduction to time series and panel data (optional, based on audience)
• Practice session: Analyzing sample data and interpreting output
• Q&A, wrap-up, and post-training assessment

GENERAL NOTES

• The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
• The participants should be reasonably proficient in English as all facilitation and course materials will be offered in English.
• Upon successful completion of this training, participants will be issued with a certificate.
• The training will be held at Kincaid Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.
• All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
• Accommodation and airport pickup are arranged upon request. For reservations contact the Training coordinator at Email: training@kincaiddevelopmentcenter.org or Tel: +254 724592901
• This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Kincaid Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 724592901 or send mail to training@kincaiddevelopmentcenter.org

Payments are due upon registration. Payment should be sent to our Bank account before commencement of training and proof of payment sent to training@kincaiddevelopmentcenter.org