Advanced Graphics, Tabulations and Statistical Analysis using Stata Course

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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.

July 2024

Code Date Duration Location Fee Action
AGT01 15 Jul 2024 - 26 Jul 2024 10 days Nairobi, Kenya KES 159,000 | $2,200 Register
AGT01 22 Jul 2024 - 2 Aug 2024 10 days Kisumu, Kenya KES 165,000 | $2,200 Register
AGT01 29 Jul 2024 - 9 Aug 2024 10 days Mombasa, Kenya KES 182,000 | $2,200 Register
AGT01 15 Jul 2024 - 26 Jul 2024 10 days Kampala, Uganda $3,300 Register
AGT01 15 Jul 2024 - 26 Jul 2024 10 days Accra, Ghana $4,400 Register
AGT01 22 Jul 2024 - 2 Aug 2024 10 days Johannesburg, South Africa $4,400 Register
AGT01 29 Jul 2024 - 9 Aug 2024 10 days Accra, Ghana $4,400 Register
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July 2024

15 Jul - 26 Jul
10 days
KES 159,000 | $2,200
22 Jul - 2 Aug
10 days
KES 165,000 | $2,200
29 Jul - 9 Aug
10 days
KES 182,000 | $2,200
15 Jul - 26 Jul
10 days
- | $3,300
15 Jul - 26 Jul
10 days
- | $4,400
22 Jul - 2 Aug
10 days
- | $4,400
29 Jul - 9 Aug
10 days
- | $4,400
I Want To See More Dates...
I Want To See More Dates...


Stata is a complete statistical software package for data management, data analysis and graphics. It comprises classical and advanced functions including: panel data analysis, forecasting, time series analysis, survival analysis, cross sectional and longitudinal survey methods, structural equation modeling, simulation methods and tables for almost all researchers and analysts. The software can be used via a graphical user interface (menus and dialog boxes) or a command-line interface using its very intuitive programming language. Stata benefits from a very active user community giving support on a dedicated mailing list (Statalist) and developing new packages to extend the software capabilities.


10 days


This is a general course targeting participants with elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some statistical knowledge, but wish to be conversant with the concepts and applications of statistical modeling. No Prior attendance of a Stata course is required.

Course Level:

Course Objectives

By the end of the training, you will be able to:

  • Understand both descriptive and inferential statistics

  • Understand various data collection techniques and data processing methods

  • Use mobile phones for data collection(Open Data Kit)

  • Use basic functions and navigation within Stata

  • Create and manipulate graphs and figures in Stata

  • Annotate data, set out command functions, create and execute Do files.

  • Use Stata effectively for manipulating and analysing data.

  • Keep records of your work and create reproducible analyses.

  • Export the results of your analyses.

Course Outline

Module 1: Introduction to Statistics, Data Collection, Processing and Stata

  • Introduction to Statistics Concepts

Module 2: Data Processing and Management with Stata

  • Concepts and Software and technologies for Data Collection and Processing

Module 3: Data Processing and Management with Stata

  • Stata Basics

  • Data Structures and Types of Variables

  • Data Management using Stata

Module 4: Output management and tabulating data with Stata

  • Output Management

  • Basics of stata programming

  • Tabulating data with Stata

Module 5: Basic Stata Graphics

  • Basics of graphing

  • Graphing quantitative

  • Graphing qualitative data

  • Advanced graphing

Module 6: Statistical Inference

  • Tests of Association

  • Tests of Difference

  • Hypothesis testing

Module 7: Regression Analysis using Stata

  • Linear Regression

  • Multiple Regression

  • Binary regression

  • Logistic Regression

  • GLM Model

  • The Problems with regression

Module: 8 Advanced analysis of complex survey data

  • Introduction to survey data

  • Bayesian Analysis of Complex Sample Survey Data

  • Generalized Linear Mixed Models (GLMMs) in Survey Data Analysis

  • Fitting Structural Equation Models to Complex Sample Survey Data

  • Small Area Estimation and Complex Sample Survey Data

  • Nonparametric Methods for Complex Sample Survey Data

Module: 9 Panel data analysis

  • Introduction to panel data analysis

  • Advanced longitudinal/panel data analysis

Module: 10 Time-series Analysis

  • Basic elements of time-series analysis

  • Managing and summarizing time-series data

  • Univariate models

  • Introduction to forecasting in Stata

Related Courses

Course Administration Details:


The instructor-led training is 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.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).


The training will be held at IRES 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 Officer.

Email:[email protected].  

Mob: +254 715 077 817


This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817.

Mob: +254 792516000+254 792516010 or mail [email protected]


Payment should be transferred to IRES account through bank before the course start date

Send proof of payment to [email protected]

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