Training on Quantitative Data Analysis with Stata
Master quantitative data analysis with Stata. Learn to analyze large datasets, conduct statistical tests, and create insightful visualizations.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This intensive 5-day course provides a comprehensive introduction to quantitative data analysis using Stata. It is designed to equip participants with the skills necessary to manage, analyze, and interpret quantitative data efficiently. The course covers the fundamentals of data management, statistical analysis, and the practical application of Stata for real-world data analysis tasks.
Course Duration
5 Days
Who Should Attend
- Researchers and academics in social sciences, economics, public health, and related fields
- Data analysts and statisticians seeking to enhance their data analysis skills
- Graduate students and postgraduate researchers who need to conduct quantitative research
- Professionals in governmental and non-governmental organizations involved in data-driven decision-making
What you'll walk away with
By the end of this course, participants will:
- To understand the principles of quantitative data analysis
- To learn the basics of data management and manipulation in Stata
- To perform descriptive and inferential statistical analyses using Stata
- To interpret and present statistical results effectively
- To apply Stata for real-world data analysis problems
What we cover, module by module
Module 1: Introduction to Stata and Data Management
- Overview of Stata interface and functionalities
- Importing and exporting data
- Data cleaning and preparation
- Creating and managing variables
- Generating descriptive statistics and summary tables
- Case Study: Poorly managed survey data affecting research accuracy
Module 2: Data Exploration and Visualization
- Data exploration techniques
- Creating basic and advanced graphs
- Visualizing distributions and relationships between variables
- Customizing and exporting graphics for reports
- Case Study: Using data visualization to identify customer behavior trends
Module 3: Descriptive Statistics and Basic Statistical Tests
- Measures of central tendency and variability
- Cross-tabulations and chi-square tests
- T-tests and ANOVA
- Non-parametric tests
- Case Study: Comparing training outcomes across departments using statistical tests
Module 4: Regression Analysis
- Simple and multiple linear regression
- Assumption checking and diagnostics
- Logistic regression for binary outcomes
- Interpreting regression outputs
- Case Study: Identifying factors influencing employee turnover through regression analysis
Module 5: Advanced Statistical Techniques and Reporting
- Time series analysis
- Panel data analysis
- Multivariate analysis (e.g., factor analysis, cluster analysis)
- Preparing data analysis reports
- Best practices for presenting statistical results
- Case Study: Forecasting sales trends and segmenting customers for strategic planning
Where the change lands
Organizational Impact
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Improve the integrity and credibility of data-driven decisions through rigorous statistical analysis.
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Increase operational efficiency by reducing time spent on manual analysis and report generation.
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Foster a data-literate culture to uncover insights and make evidence-based decisions.
Personal Impact
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Gain in-demand skills for careers in data analysis, research, or data stewardship.
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Advance into senior analytical or research roles.
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Ensure work quality and impact by producing reliable, valid findings.
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Build confidence to lead and manage complex quantitative projects.
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on Quantitative Data Analysis with Stata in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.