International Training on Research Design & Methodology, Data Management, Analysis, Inferences and Reporting -

10 days
Company Training

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Course Overview

This comprehensive ten-day training workshop aims to introduce and enhance participants' knowledge of research design and methodology, data management, analysis, inferences, and reporting of research findings. Taken at the Versed Training Facility in Nairobi, this programme offers a fun and interactive environment in which participants will be exposed to key tools and techniques such as Mobile Based Data Collection using ODK, and the use of MS-Excel and Statistical Analysis Software such as Stata and SPSS/R. 

Organisations of all sizes, across all industries, have always used systems and processes to aggregate and collect vast amounts of data. But for this information to have any significant value to the company, it must be made sense of, which is why employers are seeking professionals who are capable of using advanced software such as Stata, and SPSS to analyse and interpret this data quickly and in a cost-effective manner. This course will build your capacity with the practical skills required to use such data analysis software, significantly enhancing your value within your chosen career field. 

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How This Course Will Benefit Your Career

At the end of this course, students will be able to: 

  • Understand and select appropriate research design 
  • Prevent and control potential errors in the research planning stage. 
  • Design survey tools (eg. questionnaires) and use Mobile-Based Data Collection Techniques (ODK). 
  • Generate tables and graphs and create a syntax for the output using Stata. 
  • Enhance their skills in professional report writing. 

Certification obtained

Participation Certificate 

What jobs will I qualify for?

This course enhances learners' knowledge and skill in a number of careers including: 

  • Health Researcher 
  • Market Researcher 
  • Education Researcher 
  • Quantity Surveyor 

When do I start?

Next available course

Admission Criteria

To be eligible for this course, students must be reasonably proficient in English. No prior knowledge is required. 

How do I apply?

In order to apply for this course, students must fill in the relevant individual or company registration form.

Payment options

The total fee for this course is 2100 USD. This covers: 

  • Tuition 
  • Training Materials
  • Two break refreshments 
  • Lunch 
  • Study Visits

How to Pay
Payments should be transferred to Versed Professional Services Account through the bank 7 days before commencement of training. 

  • All participants will additionally care for their travel expenses, visa application, insurance, and other personal expenses.
  • Accommodation is arranged upon request. 

Detailed course information

This course is taken at the Versed Training Facility over the course of five days. The course outline is as follows:

Module 1: Statistical/Recap to Statistics Concepts
  • Types of data  (Qualitative and Quantitative data)
  • Data Analysis Techniques
  • Descriptive Statistics and Inferential Statistics
  • Common Inferential Statistics
  • The core functions of inferential statistics
  • Research Methodology
  • Research Methodology process.
  • Components of Research Methodology.

Module 2: Research Design and Data Collection Tools & Techniques
  • Definition of research design
  • Types of research designs
  • Benefits of various research design to a study
  • Selecting Appropriate research design (Informed by the scope of a project)
  • Potential errors in research and how to prevent them in research planning stage and control 
  • Exercise: Determination of Appropriate Research Design for a project.
  • Target Population, Sample Size, and Sampling techniques
  • Target population identification
  • Sample size determination
  • Different types of Sampling techniques, their advantages, and disadvantages and when to use each
  • Definition of data collection techniques
  • Different techniques for data collection, they advantages, and disadvantages
  • Tools for data collection
  • Designing survey questionnaires (based on study objectives)
  • Pretesting research tools for Validity and Reliability
  • Exercise: Developing research methodology and planning for survey data collection exercises

Module 3: Mobile Based data Collection using ODK and GIS Mapping
  • Introduction to mobile phone data collection
  • Common mobile based data collection platforms
  • Advantages and challenges of Mobile Applications
  • Challenges 
  • Introduction to Open Data Kit ODK
  • Components of Open Data Kit (ODK)
  • Collecting data using ODK
  • GIS Mapping
  • Exercise: use of ODK for data collection exercises and GIS Mapping

Module 4:  Data Management and Analysis using Ms-Excel
  • Introduction to Excel for Data Processing and Analysis
  • Exploring survey data using Excel
  • Tabulating and Graphing survey data using Excel
  • Pivot tables
  • Tabulating and Graphing survey data using Excel
  • Exercise:  Tabulating and Graphing survey data using Excel and preparing pivot tables

Module 5: Data Management and Analysis using statistical Softwares: (Stata/ SPSS/R)
  • Introduction to the software Stata/ SPSS/SAS/R

Module 6: Data Entry, Management, and Manipulation using Stata/SPSS/SAS/R
  • Importing/ exporting datasets
  • Defining and labeling data and variables
  • Creating, transforming, recoding variables
  • Generating new variables
  • Creating New datasets, sorting and ordering, and modification
  • Quality checks of datasets: Identify duplicate observations
  • Merging and Appending data files
  • Exercises: Data Entry, Management and Manipulation and quality checks for survey data

Module 7: Graphic, Tabulations and Output Management Using Stata/SPSS/SAS/R
  • Introduction to output Management using
  • Tabulating data
  • Basics of Graphing
  • Customizing Graphs
  • Exporting graphics and tabulations.
  • Syntax for outputs
  • Exercises: generating tables and graphs and creating a syntax for the output

Module 8: Analysis of Survey data using inferential statistics using Stata/SPSS/SAS/R and making Inferences
  • Introduction/recap of inferential statistics
  • Recap/Introduction to Statistical Inference, their applications and underlying conditions for their use;
  • Measures and tests of association
  • Tests of difference
  • Hypothesis Testing  and Inference
  • Correlation analysis
  • Students T test
  • Exercises: generating and interpreting inferential statistics

Module 9:  Regression Analysis Using Stata/SPSS/SAS/R and Making Inferences:

  • Types of regression analysis model and their application.
  • Generating regression models
    • Linear regression (simple linear, multiple linear)
    • Logistic Regression
  • Exercise: Generating regression models

Module 10: Report Writing for Survey Findings, Dissemination and Use
  • Writing strategies for simple and advanced levels survey reports
  • Report structures
  • Considerations before writing the report
  • Writing a survey report
  • Appropriate language use
  • Making conclusions and recommendations
  • Communication and dissemination
  • Decision making based on findings report
  • Exercise: Preparing a report 

This training can also be customised for your particular institution upon request. You can have it delivered to your preferred location. 
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Where and When


Versed Professional Services

1st Floor, Utumishi Coop House, Mamlaka Road off Nyerere Road Nairobi, Kenya, Nairobi, Kenya


Versed Professional Services

1st Floor, Utumishi Coop House, Mamlaka Road off Nyerere Road Nairobi, Kenya, Nairobi, Kenya

Course Provider