Training on Data Management and Statistical Analysis using Stata
Master data management and statistical analysis using Stata. Learn to clean, transform, and analyze data effectively, and conduct a wide range of statistical tests.
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
Stata statistical data software is a complete, integrated statistical software package that provides for data analysis, data management, and graphics. The course is aimed at researchers and other professionals who would like to strengthen their capacity using this statistical data analysis software. The Stata training will enhance the knowledge and skills of the participants to analyse data in a fast, accurate and easier manner by using Stata software and will know how to interpret and present the results. This will also enable participants to gain experience of the practical application of the statistical analytical techniques.
Course Duration
5 Days
Who Should Attend
- Researchers and data analysts in academia, government, and private sectors
- Graduate students and PhD candidates in social sciences, health sciences, economics, and related fields
- Professionals involved in data-driven decision making and policy analysis
- Anyone interested in improving their data management and statistical analysis skills using Stata
What you'll walk away with
By the end of this course, participants will:
- Improve their existing skills
- Understand how to develop their role
- Learn how to write more effective correspondence
- Learn how to give memorable presentations
- Be aware of how to be more proactive
- Understand ways in which they can expand their business acumen
- Learn ways to manage their managers
- Discuss interpersonal intelligence and how it can improve their working practice
- Be aware of how they can take some control over their time and work output
What we cover, module by module
Introduction to Statistical Analysis
- Explain the basic steps of the research process
- Explain differences between populations and samples
- Explain differences between experimental and non-experimental research designs
- Explain differences between independent and dependent variables
Introduction to Stata
- Datasets in Stata
- Introduction to Stata commands
- Working with variables in Stata
- Basic analysis using Stata
Graphics using Stata
- Introduction to Stata GUI
- Graph command syntax
- Different types of Graphs in Stata
Statistical Tests using Stata
- One Sample T Test
- Independent Samples T Test
- Paired Samples T Test
- One-Way ANOVA
Associations in Stata
- Chi-Square test
- Pearson’s Correlation
- Spearman’s Rank-Order Correlation
Predictive Models using Stata
- Linear Regression
- Multiple Regression
- Logistic Regression
- Ordinal Regression
Panel Data Analysis using Stata
- Exploration of panel data
- Fixed effects model/LSDV
- Random effects model
- Choosing the appropriate model
Time Series Analysis using Stata
- Introduction to time series analysis using Stata
- Plotting a time series
- Seasonal differences
- Auto correlations
- Forecast models in Stata
Econometric Analysis
- Econometric Analysis of cross-sectional data
- Econometric Analysis of panel data
- Econometric Analysis of time-series data
Where the change lands
Organizational Impact
-
Improve data-driven research and decision-making.
-
Increase efficiency in data processing and analysis.
-
Enhance research quality and organizational credibility.
Personal Impact
-
Gain in-demand skills in research and statistical analysis.
-
Advance into roles in data science, research, or policy analysis.
-
Lead and contribute to high-quality, data-driven initiatives.
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.
You may also like.
Programmes in the same discipline that participants often pair with this course.
Hybrid5 daysMaster research methods, data analysis, and report writing for the public sector. Gain the skills to conduct rigorous research, analyze data effectively, and communicate findings clearly.
Hybrid5 daysGain practical skills in AI ethics, governance, and regulatory compliance for sustainable innovation.
Hybrid5 daysBuild skills in ethical AI and governance. This course equips professionals to implement AI responsibly while addressing bias, privacy, and accountability.
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 Data Management and Statistical Analysis using 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.