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Advanced Graphics, tabualtions and Statistical Analysis using Stata


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.


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.


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

  • Introduction to Statistics Concepts

Day 2: Data Processing and Management with Stata

  • Concepts and Software and technologies for Data Collection and Processing

Day 3: Data Processing and Management with Stata

  • Stata Basics
  • Data Structures and Types of Variables
  • Data Management using Stata

Day 4: Output management and tabulating data with Stata

  • Output Management
  • Basics of stata programming
  • Tabulating data with Stata

Day 5: Basic Stata Graphics

  • Basics of graphing
  • Graphing quantitative
  • Graphing qualitative data
  • Advanced graphing

Day 6: Statistical Inference

  • Tests of Association
  • Tests of Difference
  • Hypothesis testing

Day 7: Regression Analysis using Stata

  • Linear Regression
  • Multiple Regression
  • Binary regression
  • Logistic Regression
  • GLM Model
  • The Problems with regression

Day: 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

Day: 9 Panel data analysis

  • Introduction to panel data analysis
  • Advanced longitudinal/panel data analysis

Day: 10 Time series Analysis

  • Basic elements of time-series analysis
  • Managing and summarizing time-series data
  • Univariate models
  • Introduction to forecasting in Stata


Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.


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.

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 Services (IRES) certificate.


The training is residential and will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Mob: +250 789 621 067 


This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.


Payment should be transferred to IRES account through bank on or before C.O.B.  29th June 2020.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.


Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

1.    Participants may cancel attendance 14 days or more prior to the training commencement date.

2.    No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 10 Days
Event Date 06-07-2020
Event End Date 17-07-2020
Cut off date 29-06-2020
Individual Price(rwanda franc) R₣ 1,112,000
Individual Price (International) EUR 1,771
Individual Price(International in Dollars) USD 1,999
Location Kigali,Rwanda
We are no longer accepting registration for this event
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Contact Us

+250 789 621 067
[email protected]
Kamukina KG 501 Gate
Kigali, Rwanda

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