Research Designing and Data Analysis for Informed Decision Making
Online Training - We have refined out courses to suit the dynamic world and help achieve your objective

Course Date Onsite fees: Location Register
29/07/2024 To 02/08/2024 1,000 USD, 90,000 Ksh Nairobi
28/10/2024 To 01/11/2024 1,000 USD, 90,000 Ksh Nairobi


Understanding the appropriate data analysis method, the right interpretation of results is critical in coming up with an evidenced based decision for development. Further, learning the basic recommendations involved in presenting of the results using texts, tables and graphs is essential because it makes it much easier to understand the data under analysis and to promote accurate communication of research outputs. Moreover, well presented research information in the form of texts, tables and graphs not only make research output article easy to understand but also attract and sustain the interest of readers, and ably present complex information. This 5-days course will equip participants with skills necessary in data analysis, data interpretation and presentation.



5 days


Who should attend?

Researchers, students, anyone who interested in enhancing his/ her data analysis skills


What you will learn:

By the end of the training participants will be able to:

§    Understand fundamental statistical concepts

§    Learn data handling, cleaning and management techniques using the data analyzing software of choice

§    Analyze data by applying appropriate statistical techniques

§    Learn how to present results using tables, charts and graphs

§    Interpret the results

§    Learn various parts and contents of research outputs (Research reports, journal articles and policy briefs)



Module 1: Introduction to statistical terms and concepts

§    Types of research

§    Research Process

§    Definition of various  statistical concepts

§    Descriptive Statistics

§    Inferential statistics


Module 2: Types of Research Designs

§    Definition of research design

§    Types of qualitative research designs

§    Types of quantitative Research designs

§    Mixed method research designs


Module 3: Descriptive analysis

§    Frequencies and percentages

§    Measurers of central tendencies (Means, standard deviations, median, mode e.t.c)

§    Test statistics (Parametric and non-parametric tests)

§    Assumptions of parametric tests

§    Tests of independence

§    Tests for Goodness of fit

§    Test for associations


Module 4: Regression analysis

§    Factors to consider while choosing the appropriate regression models

§    Assumptions of simple linear regressions

§    How to run Diagnostic tests (Multicollinearity, heteroscedasticity, linearity, autocorrelation etc)

§    Simple and multiple linear regressions

§    Logistic regressions (Logit and probit models)

§    Generalized linear model  regression (Poisson regression)

§    Censored regression model and truncated regression models (Tobit models)

§    Models to control for sample selection bias (Heckman two stage models


Module 5: Presentation of results from descriptive analysis and regression models

§    Techniques of data and information presentation in textual, tabular, and graphical forms

§    Criteria of determining the Methods of presenting results

§    Text (narrative) presentation

§    Table presentation

§    Graphs presentation

§    Interpretation of descriptive analysis and regression models results

§    Discussing of the results of descriptive analysis and regression models results

§    Understanding the outline and content of various research outputs (reports, journal articles and policy brief e.t.c)

§    Exercise: drafting of a research output of choice (Journal article, report or policy brief etc)




This training can also be customized for your institution upon request. You can also have it delivered your preferred location. For further inquiries, please contact us through Mobile: +254 732 776 700/+254759285295 or Email:  



Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.



The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.



Accommodation is arranged upon request. For reservations contact us through phone: +254732776700 / +254759285295 or Email: 

Call us on +254 732 776 700/ +254 759 285 295
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